Get the chrome extension Sr Software Engineer, Cribl AI
Cribl
Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.
We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.
Why You'll Love This Role
You will work closely with the founding team and a group of highly-skilled engineers to shape the future of search and analytics of observability data. You will play a central role in bringing integrating cutting-edge Generative AI technologies with the Cribl Product suite to help solve real customer problems. You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers. On top of it all you will have fun. Cribl strives to be a great place to work for everyone.
As An Active Member Of Our Team, You Will...
- Productionize, launch, and operate AI-based technology integrations into Cribl’s core products with the goal of solving real customer problems
- Partner with product & design leaders to prototype and experiment with new AI features
- Stay up-to-date with the latest AI technologies and trends
- This position will require stand-by, on-call, or off-hours duties
If You've Got It - We Want It
- 5+ years of professional software engineering experience building AI features end to end in production across product, backend, and model integration layers
- Proven fullstack experience, including designing and scaling React-based UIs and backend services or APIs, with strength in backend and systems thinking
- Deep expertise in TypeScript or JavaScript plus experience with at least one backend language or runtime such as Node.js, Go, Java, or similar
- Professional experience building AI agent-driven product experiences, including conversational interfaces, tool-calling patterns, RAG, prompt engineering, evaluation or guardrail techniques, and agent orchestration connected to reliable backend and data systems
- Professional experience with Model Context Protocols (MCPs), agent frameworks, orchestration layers, and integrating external tools and data sources into LLM-based systems
- Machine learning experience, ideally in applied settings where models or AI systems were shipped, integrated, evaluated, or operated in production
- Familiarity with data and infrastructure patterns for AI systems, including databases, APIs, observability, and integrating external tools, services, and data sources in production environments
- Ability to problem-solve from first principles, make sound engineering trade-offs aligned with product and business goals, and drive work independently through ambiguity
- Excellent communication skills, both verbal and written, with the ability to explain complex technical topics to cross-functional stakeholders in a remote or distributed environment
The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience.
In addition to base salary, for sales and some sales-adjacent roles, employees are eligible to earn incentive compensation (commission). For all other roles, employees are eligible to participate in the Cribl Corporate Bonus Program.
In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), and equity.
Bring Your Whole Self
Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at .
Originally posted on Himalayas
Software Engineer 4 - AI Native
Granicus
The Company
Serving the People Who Serve the People
Granicus is driven by the excitement of building, implementing, and maintaining technology that is transforming the Govtech industry by bringing governments and its constituents together. We are on a mission to support our customers with meeting the needs of their communities and implementing our technology in ways that are equitable and inclusive. Granicus has consistently appeared on the GovTech 100 list over the past 5 years and has been recognized as the best companies to work on BuiltIn.
Over the last 25 years, we have served 5,500 federal, state, and local government agencies and more than 300 million citizen subscribers power an unmatched Subscriber Network that use our digital solutions to make the world a better place. With comprehensive cloud-based solutions for communications, government website design, meeting and agenda management software, records management, and digital services, Granicus empowers stronger relationships between government and residents across the U.S., U.K., Australia, New Zealand, and Canada. By simplifying interactions with residents, while disseminating critical information, Granicus brings governments closer to the people they serve—driving meaningful change for communities around the globe.
Want to know more? See more of what we do here.
Job Summary
Granicus serves more than 7,000 public-sector agencies and powers approximately 30 billion digital interactions annually. Within the Office of the CTO, we operate an AI-native software development lifecycle: a production engineering model in which autonomous agents perform high-confidence implementation work and senior engineers orchestrate, review, and own the outcome. The model is established and operating; we are scaling it across additional delivery teams.
This role joins one of those teams. Our engineering standards are calibrated to the practices used by leading software and AI organizations — generator-verifier architecture, eval-driven development, staged deployment, and high-volume autonomous pull-request pipelines — operated within a FedRAMP-authorized environment. We are hiring practitioners who will set and uphold these standards, not engineers who simply use AI tooling.
Operating constraints (non-negotiable): agents execute only within branches; all agent-generated code passes senior human review before merging to production; autonomous execution is a force multiplier and does not transfer accountability away from the responsible engineer. Compliance obligations — NIST 800-53 Rev 5, WCAG, SOC 2, and applicable FedRAMP authorizations — are treated as engineering requirements and a source of competitive advantage.
Why this role exists
When agents produce the majority of initial implementation, the scarce engineering skill shifts from authoring code to directing it, reviewing it rigorously at volume, and owning whether it is correct. This role is for a senior engineer who has made that transition: decomposing work for the agent array, authoring the evaluation suites that hold agent output to a measurable standard, reviewing agent-generated pull requests with greater rigor than most engineers apply to their own work, and shipping production code within a FedRAMP-authorized environment. The role contributes to defining how engineers operate in an AI-native lifecycle, not merely to adopting AI tooling.
What Your Impact Will Look Like
- Direct the agent array on production workstreams — decompose problems into tasks suitable for agent execution, dispatch them, and integrate the output into shipped software.
- Review agent-generated pull requests at volume and at depth — identify correctness, security, and accessibility defects that automated tests do not catch, while maintaining review throughput and a consistent quality bar.
- Author evaluation suites that make quality measurable — define criteria under which the pipeline validates correctness rather than relying on subjective assessment. Eval-driven development is your standard practice.
- Own quality end to end — correctness, performance, security posture, and WCAG accessibility of the software your team ships, irrespective of which component or agent produced the initial implementation.
- Advance workstreams along the autonomy ladder on the basis of evidence — move work from supervised to autonomous execution when measured reliability supports it, and revert promptly when it does not.
- Strengthen the development lifecycle itself — identify where patterns, prompts, or pipeline components degrade at volume and work with the lead architect to remediate them.
- Maintain agent operations within the security boundary — branch-only execution, vaulted credentials, sandboxed actions, and in-VPC inference. Throughput does not justify exceptions.
- OWNERSHIP FROM DAY ONE
- An active workstream directed through the agent array
- Agent pull-request review as a core, high-signal responsibility
- Evaluation suites authored and owned for your team’s deliverables
- End-to-end quality ownership within the FedRAMP-authorized environment
-
SCOPE YOU WILL GROW INTO
- Higher autonomy ratios substantiated by reliability data
- Reusable prompt and evaluation patterns adopted by other engineers
- Contribution to the lifecycle standards as a co-author, not only a user
- Mentorship of engineers transitioning to agent-directed delivery
You Will Love This Job If You Have
Required
- Strong engineering fundamentals. Data structures, systems design, and testing, with the ability to read unfamiliar code quickly and assess it accurately. Agents amplify engineering judgment; they do not substitute for it.
- A record of shipping production software you owned the quality of, including responsibility for diagnosis and remediation when it failed.
- Hands-on experience directing coding agents on production work, including their failure modes and the practice of reviewing agent-generated code critically rather than approving it by default.
- Demonstrated code-review competence. You identify defects that automated tests do not catch, provide actionable feedback, and maintain a high bar without becoming a bottleneck.
- High autonomy. You advance work without step-by-step direction and escalate issues proactively.
Preferred
- High-assurance or regulated experience. Shipping within FedRAMP, defense, financial services, healthcare, or another NIST 800-53 / SOC 2 / HIPAA-bound environment.
- Depth in evaluation authoring or test-first development within a rigorous engineering culture.
- Full-stack range, sufficient to review front-end and back-end agent output with equal confidence.
- Public-sector or govtech experience and familiarity with the relevant end users.
Indicators of a strong fit
- You deliver more effectively by directing multiple agents than by authoring code directly, while retaining a precise understanding of the intended implementation.
- You regard rigorous code review as a core engineering competency.
- You prefer to establish quality through evaluation suites rather than through discussion.
- You treat the agent array as leverage and reliably identify when its output is incorrect.
- You want to contribute to how engineering is practiced here, not only to apply new tooling.
Indicators this role is not a fit
- You measure your contribution by lines of code personally authored. That metric does not apply in this model.
- You approve pull requests without thorough review under time pressure. At agent volume, this is the primary path by which defects reach production.
- You are uncomfortable owning quality for code you did not author. Ownership here is intentionally decoupled from authorship.
- You regard evaluation and compliance as impediments to shipping.
- You prefer narrowly scoped tickets and no involvement in how the system operates.
Pay Range
USD $88,000.00 - USD $180,000.00 /Yr.About Us
Don’t have all the skills/experience mentioned above? At Granicus, we are trying to build diverse, inclusive teams. We do not have degree requirements for most of our roles. If you don’t meet every requirement above but are excited to learn more, we encourage you to apply. We might just be able to find another role that could be a perfect fit!
Security and Privacy Requirements
- Responsible for Granicus information security by appropriately preserving the Confidentiality, Integrity, and Availability (CIA) of Granicus information assets in accordance with the company's information security program.
- Responsible for ensuring the data privacy of our employees and customers, their data, as well as taking all required privacy training in a timely manner, in accordance with company policies.
The Team
- We are a remote-first company with a globally distributed workforce across the United States, Canada, United Kingdom, India, Armenia, Australia, and New Zealand.
The Culture
- At Granicus, we are building a transparent, inclusive, and safe space for everyone who wants to bea part of our journey.
- A few culture highlights include – Employee Resource Groups to encourage diverse voices
- Coffee with Mark sessions – Our employees get to interact with our CEO on very important andsometimes difficult issues ranging from mental health to work-life balance and current affairs.
- Microsoft Teams communities focused on wellness, art, furbabies, family, parenting, and more.
- We bring in special guests from time to time to discuss issues that impact our employeepopulation
The Impact
- We are proud to serve dynamic organizations around the globe that use our digital solutions to make the world a better place — quite literally. We have so many powerful success stories that illustrate how our solutions are impacting the world. See more of our impact here.
The Benefits
At Granicus, we offer a comprehensive and flexible benefits package designed to support your well-being, growth, and work-life balance—starting from day one. Here’s what you can expect as a U.S.-based team member:Flexibility & Balance
- Flexible Time Off – Take the time you need to rest, recharge, and live your life.
- Company-Wide Wellbeing Days – Paid days off to unplug and focus on your mental health.
- Work From Home Reimbursement – Support a productive home office environment.
- Multiple Health Plan Options – Including a 100% employer-paid plan.
- Employer HSA Contributions – When enrolled in a High-Deductible Health Plan.
- Fitness Reimbursement Program – Stay active, your way.
- On-Demand Mental Health Support – Access to Headspace and other wellness tools.
- Paid Parental Leave – For both birthing and non-birthing parents.
- Traditional & Roth 401(k) – With a generous company match.
- Life & AD&D Insurance – 100% employer-paid coverage for peace of mind.
- Online Learning Platforms – Fuel your professional development.
- Competitive Salary & Bonuses – Your contributions are valued and rewarded.
Equal Opportunity Employer
Granicus is committed to providing equal employment opportunities. All qualified applicants and employees will be considered for employment and advancement without regard to race, color, religion, creed, national origin, ancestry, sex, gender, gender identity, gender expression, physical or mental disability, age, genetic information, sexual or affectional orientation, marital status, status with regard to public assistance, familial status, military or veteran status or any other status protected by applicable law.Originally posted on Himalayas
Software Engineer - AI Team
Bowery Valuation
Who we are
Bowery Valuation is one of the leading startups in the emerging world of real estate tech and the only company of its kind in the commercial real estate appraisal space. We are also the first-ever venture capital-backed commercial appraisal firm, having raised over $80MM. Powered by big data, advanced technology, and extensive expertise, Bowery is redefining the entire commercial appraisal space.
Inside Bowery, we’re a people-forward company dedicated to providing a productive and inspiring working culture. We are a collection of hard-working and enthusiastic types focused on building great teams to support great work. We balance our dedication to success with a commitment to gratitude, kindness, and a team-first attitude.
About the Role
Bowery is in a new phase: rethinking the whole appraisal process with AI at the core. We’re hiring a Software Engineer to join our AI-first engineering team, reporting to our Head of Technology.
As the first truly tech-enabled appraisal firm - having raised over $80mm backed by Goldman Sachs, Capital One, and numerous venture funds - Bowery has a strong foundation to build on: a proprietary appraisal-writing platform, high-quality data, and a team of 100+ appraisers across 17 offices from more than 1,000 clients. We’ve grown over 30% year-over-year and are fully profitable.
Few industries are better suited for AI than appraisal. The work is structured, repetitive, and data-driven, and it pulls from fragmented sources. We want to use AI to turbocharge appraisers, who can spend their time on judgment, comparables, and compliance instead of data entry. The result will be a better product for our clients and a transformation in the industry.
This is a senior engineering role, not a prompt-writing role. We want someone with a strong software engineering foundation who also uses AI tools like Claude Code and Codex to get far more done than they could alone. You’ll make product decisions, own systems end to end, and hold a high bar for how they’re built.
Bowery is a post-Series B company with clear product-market fit and material scale, but with a small engineering team. You get the security and data of a late-stage startup with the impact of a very early one.
What You’ll Do
- Design, build, and ship features end to end across our appraisal platform and AI-powered workflows, from data extraction and analysis to narrative generation
- Work directly with appraisers and Ops to understand the problem, decide what to build, and make the product calls to get it shipped
- Use AI coding tools (Claude Code, Codex, or similar) every day, and help shape how the team uses them well, including knowing where not to trust them
- Build LLM-backed features with evaluation, testing, and monitoring in place so quality is measured, not guessed at
- Own infrastructure and deployments on AWS, including CI/CD with GitHub Actions, infrastructure as code with Terraform, and containerized services with Docker
- Keep the bar high on system design, code review, testing, and observability as we move faster
Experience and Skills
- 4+ years building and shipping production software, ideally including time at an early-stage or fast-moving company
- Strong fundamentals in system design, data modeling, APIs, and testing
- Fluent in TypeScript and Node.js; React experience is a plus
- AI coding agents (Claude Code, Codex, or similar) are a real part of how you work today, and you have opinions on how to use them without giving up quality
- Experience building with LLMs: prompt design, RAG, structured outputs, and evals
- Experience with AWS preferred, along with GitHub Actions, Terraform, and Docker
Why You’d Be a Good Fit
- You want ownership. You’d rather figure out what should be built than wait for a fully specced ticket, and you’re comfortable making and defending product decisions.
- You think critically. You use AI to multiply your output, and you review its work the way you’d review a teammate’s. You know when something is good enough to ship and when it isn’t.
- You care how things are built. Speed matters, but so do clean interfaces, tests, and systems that the next engineer can understand.
- You enjoy having direct access to end users. Our core users (appraisers and Ops teams) are all in-house, so you’d be iterating with a tight feedback loop. Many of them work 3x/week from our office in Cooper Square.
- You value a remote-first eng culture. Our engineers prioritize async communication and make space for deep focus time to help us ship faster.
Why You Might Not Be a Good Fit
- You want well-defined tickets and a narrow scope. This role means wearing many hats and working through ambiguity with the business.
- You’d rather not use AI tools in your work. They’re central to how our team operates and how we expect to scale.
- You’d ship code you don’t understand. AI-generated code still needs to meet our engineering standards, and you own what you merge.
Bowery’s Tech Stack
- Languages: TypeScript, JavaScript
- Frontend: React
- Backend: Node.js (NestJS framework)
- Database: MongoDB, Postgres
- Infrastructure: AWS, Docker, Terraform, GitHub Actions
Bowery Leadership
- John Meadows, Chief Executive Officer; LinkedIn
- Madeline Pinkner, Head of Technology; LinkedIn
- Eliot Jenkins, President and Chief Operating Officer; LinkedIn
- Steve Schaller, Chief Revenue Officer; LinkedIn
Originally posted on Himalayas
Software Engineer, AI & Application Engineering (Contingent)
Coforma
Note: This opening is contingent upon Coforma receiving the award for the underlying contract associated with this project. We will keep you updated on the award status throughout the interview process and will inform you immediately if there are any changes regarding the availability of this position.
This role combines full-stack web application engineering with hands-on AI and machine learning development, enabling you to deliver both the user-facing systems that serve federal employees and retirees and the AI-powered capabilities that make those systems smarter and more efficient over time.
Join us to build software that makes an impact and implement human-centered solutions that we can be proud to say we worked on together.
If you’re passionate about improving lives through digital products and services, Coforma is a great company for you.
$150,235 to $169,146 Annual Salary + Benefits + Growth Potential
Placement within this range will be based on the competency level of the candidate. An offer will be made at one of the following tiers:
- Tier 1 — $150,235.80: Meets stated qualification and experience requirements. May need guidance and training beyond onboarding to perform the more complex functions of the role.
- Tier 2 — $159,691.20: Experienced and fully competent. Will be able to independently perform key responsibilities of the role once onboarding is completed.
- Tier 3 — $169,146.60: Highly experienced and can perform all responsibilities of the role at a higher level than expected once onboarding is completed.
- Arizona
- California
- District of Columbia
- Florida
- Georgia
- Idaho
- Illinois
- Maryland
- Massachusetts
- Montana
- Nevada
- New Jersey
- New York
- North Carolina
- Oregon
- South Carolina
- Tennessee
- Texas
- Virginia
- Washington
- Wisconsin
What You’ll Do (Key Responsibilities)
-
Application Engineering:
- Build modular, responsive web applications using React and/or Vue.js in alignment with accessibility and UX best practices.
- Design and implement secure, scalable APIs using TypeScript, ASP.NET Core, or Java (Spring Framework).
- Integrate with enterprise systems via SOAP/RESTful APIs with robust error handling.
- Implement authentication, authorization, and secure configuration in accordance with client agency security policies.
- Optimize database access and performance using SQL Server and Entity Framework Core.
- Add observability through structured logging, metrics, and tracing and support incident response with clear runbooks.
-
AI and Machine Learning:
- Design and implement AI agents and large language model (LLM)-powered applications that automate and enhance retirement data workflows.
- Build, evaluate, and maintain machine learning models for classification, prediction, and anomaly detection.
- Integrate LLMs into production systems using prompt engineering, retrieval-augmented generation (RAG), and agentic frameworks.
- Develop and maintain data pipelines that ingest, validate, and transform large-scale structured and unstructured data.
- Apply explainable AI practices appropriate for a regulated, auditable government environment.
- Track model performance and manage the machine learning (ML) lifecycle using tools such as MLflow.
-
Collaboration and Delivery:
- Participate in Agile ceremonies, conduct code reviews, and contribute to release planning and documentation.
- Work across technical and policy teams to translate business requirements into reliable, AI-driven solutions.
- Uphold software engineering best practices such as version control, CI/CD, testing, and peer review across both application and AI workstreams.
What We're Looking For
Who You Are and What You Know (Knowledge and Experience Requirements)
- Full-time resident of the contiguous United States (must be legally authorized to work in the US now and in the future without sponsorship)
- Ability to pass a Public Trust background check and any applicable background and/or security checks related to project requirements
- Proficiency in React, Vue.js, JavaScript, TypeScript, ASP.NET Core, and Java (Spring Framework)
- Strong SQL skills and experience with SQL Server as well as familiarity with EF Core
- Experience with enterprise integrations including message queues, database RPC, REST, and SOAP APIs
- Understanding of authentication, authorization, and security best practices
- Hands-on experience building or deploying LLM-based solutions (e.g., OpenAI, Anthropic, Azure OpenAI, or open-source models)
- Familiarity with agentic AI patterns (tool use, planning, memory, and multi-step reasoning)
- Experience with RAG pipelines, vector databases, and embedding-based retrieval
- Experience using coding agents such as CoPilot or Claude Code
- Effective prompt engineering and experience evaluating LLM outputs for reliability and correctness
Preferred Qualifications and Experience
- 5+ years of experience building applications with open-source programming languages
- 5+ years of experience working with modern frameworks, libraries, or runtimes
- 5+ years of experience working with APIs and databases of various types
- 5+ years of experience working with infrastructure tools and Infrastructure as Code
- Experience developing software in a remote environment
- Experience working in the digital services, federal government, or federal government contracting industries
Other
- Internet: Will prioritize and maintain access to strong, reliable internet for the remote nature of our work, except when on vacation or holiday.
- Security: Will keep the highest security practices to ensure privacy and security of Coforma and client information, given the nature of our work, even when on vacation.
- Travel Flexibility: On request and with advanced notice, will attend in-person events such as meetings, workshops, and trainings as assigned for projects that require it.
- Brand Representation: Will represent Coforma professionally and sincerely, modeling our Company Values in all interactions.
Originally posted on Himalayas
Sr Software Engineer, Cribl AI
Cribl
Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.
We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.
Why You'll Love This Role
You will work closely with the founding team and a group of highly-skilled engineers to shape the future of search and analytics of observability data. You will play a central role in bringing integrating cutting-edge Generative AI technologies with the Cribl Product suite to help solve real customer problems. You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers. On top of it all you will have fun. Cribl strives to be a great place to work for everyone.
As An Active Member Of Our Team, You Will...
- Productionize, launch, and operate AI-based technology integrations into Cribl’s core products with the goal of solving real customer problems
- Partner with product & design leaders to prototype and experiment with new AI features
- Stay up-to-date with the latest AI technologies and trends
- This position will require stand-by, on-call, or off-hours duties
If You've Got It - We Want It
- 5+ years of professional software engineering experience building AI features end to end in production across product, backend, and model integration layers
- Proven fullstack experience, including designing and scaling React-based UIs and backend services or APIs, with strength in backend and systems thinking
- Deep expertise in TypeScript or JavaScript plus experience with at least one backend language or runtime such as Node.js, Go, Java, or similar
- Professional experience building AI agent-driven product experiences, including conversational interfaces, tool-calling patterns, RAG, prompt engineering, evaluation or guardrail techniques, and agent orchestration connected to reliable backend and data systems
- Professional experience with Model Context Protocols (MCPs), agent frameworks, orchestration layers, and integrating external tools and data sources into LLM-based systems
- Machine learning experience, ideally in applied settings where models or AI systems were shipped, integrated, evaluated, or operated in production
- Familiarity with data and infrastructure patterns for AI systems, including databases, APIs, observability, and integrating external tools, services, and data sources in production environments
- Ability to problem-solve from first principles, make sound engineering trade-offs aligned with product and business goals, and drive work independently through ambiguity
- Excellent communication skills, both verbal and written, with the ability to explain complex technical topics to cross-functional stakeholders in a remote or distributed environment
The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience.
In addition to base salary, for sales and some sales-adjacent roles, employees are eligible to earn incentive compensation (commission). For all other roles, employees are eligible to participate in the Cribl Corporate Bonus Program.
In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), and equity.
Bring Your Whole Self
Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at .
Originally posted on Himalayas
AI-Native Software Engineering Americas Market
Accenture
About Accenture:
Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. Visit us at accenture.com.
We are:
A forward-thinking services company at the forefront of AI-native engineering. We partner with enterprise clients to design, build, and run production systems in which AI is a first-class engineering capability, engineered into the product and into the way our teams build it. Our engineers embed deeply with customers, own the code they ship, and move work past experimentation into operational reality.
You are:
An engineer who builds across the stack: front end, APIs, services, data, and the infrastructure it runs on. You take ownership of a feature through to production, including the parts that sit outside your strongest layer, and you have shipped software that real users depend on. You can explain the design decisions behind your work and what you would do differently.
AI is part of how you work. You use AI tools daily to generate, test, debug, and document code, and you have built at least one production feature in which a model performs meaningful work. You understand what it takes for a system to hold up under production load, security review, and real users.
You'll grow into an engineer who can own an entire system, developing depth in cloud, security, data, and agentic engineering alongside senior engineers who remain hands-on in the code with you.
The Work:
You'll work as part of a client-embedded engineering team, taking real features from design through production. You will be handed problems to solve, and you will be expected to ask precise questions, make progress under ambiguity, and put working software in front of stakeholders quickly.
Build Across the Stack
- Build and ship production features across front end, APIs, backend services, integration, and data, taking a feature end to end across every layer it touches.
- Read and debug unfamiliar code, trace a problem across application, data, and infrastructure boundaries, and fix the underlying cause.
Build and Run on Cloud-Native Platforms
- Develop, containerize, and deploy services on a major cloud platform using Docker, Kubernetes or serverless, and managed cloud services.
- Apply infrastructure as code (Terraform, Helm, or equivalent), and take part in keeping your services healthy, observable, and recoverable in production.
Work Inside the Delivery Pipeline
- Work within automated CI/CD pipelines, writing the automated tests, resolving pipeline failures, and taking your own changes through to production.
- Apply secure engineering practices as you code, including identity and access fundamentals, secrets handling, dependency hygiene, and input validation.
Work With Data and Context
- Design and implement the data access your features need across relational and non-relational stores, APIs, object storage, and event platforms.
- Build the retrieval and context layers AI features depend on, including knowledge sources, embeddings, metadata, and context management, applying data quality, access, and privacy controls as you go.
Build AI Features and Agent Workflows
- Integrate commercial and open models through APIs and enterprise AI platforms, using tool calling, structured outputs, retrieval, and context engineering to make them useful inside live business workflows.
- Build agent workflows with tools, memory, and human checkpoints, and write the evaluations that measure their behavior against accuracy, latency, safety, and cost.
Engineer With AI Every Day
- Use AI-native development techniques throughout your own workflow, including code generation, test generation, debugging, refactoring, documentation, and code comprehension, and measure the effect on your throughput and quality.
- Give agents the context, tools, and boundaries they need to safely handle bounded engineering tasks, and review their output to the same standard you would apply to a colleague's code.
Grow and Contribute
- Participate in design reviews, code reviews, and production troubleshooting, applying feedback quickly and raising the quality of the work around you.
- Document what you learn and contribute patterns, reusable components, and tooling back to the team and to our internal AI-native engineering community.
Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.
Here's What You Need:
- Minimum of 3 years of professional software engineering experience building production software.
- Minimum of 2 years of hands-on experience working across more than one layer of the stack, for example front end and API, or services and data.
- Minimum of 3 years of programming experience in at least one major language such as Java, Python, Go, TypeScript/JavaScript, or C#.
- Minimum of 3 year of hands-on experience with a major cloud platform (AWS, Azure, or GCP), including building and deploying containerized services.
- Minimum of 3 year of experience working within an automated CI/CD pipeline, including writing automated tests.
- Minimum of 1 year of hands-on experience building and shipping AI-enabled features or agent workflows, including model integration through APIs, tool calling, structured outputs, retrieval, and context engineering.
- Minimum of 1 year of experience applying AI coding tools to day-to-day software development, including code generation, test generation, debugging, and documentation.
- Bachelor's degree in Computer Science, Engineering or equivalent OR equivalent work experience.
Bonus Points If You Have:
- A public repository, portfolio, or open-source contribution featuring agents, tools, or plugins you built yourself.
- Experience with an agent framework such as LangGraph, Crew AI, the Claude Agent SDK, or the OpenAI SDK.
- Experience writing evaluations or test harnesses that measure AI behavior.
- Hands-on experience with infrastructure as code and observability tooling.
- Relevant cloud or AI certifications.
- Experience in a client-facing or product-facing role presenting your own technical work to stakeholders.
- Experience in a startup, product company, or hyperscaler environment where you owned a feature from idea through production.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 11/22/2026."
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture
Role Location Annual Salary Range
California $70,350 to $235,100
Colorado $63,800 to $203,100
Connecticut $63,800 to $203,100
District of Columbia $68,000 to $216,300
Illinois $59,100 to $203,100
Maine $54,400 to $173,100
Maryland $63,800 to $203,100
Massachusetts $63,800 to $216,300
Minnesota $63,800 to $203,100
New York $66,300 to $235,100
New Jersey $68,000 to $235,100
Ohio $59,100 to $188,100
Virginia $59,100 to $216,300
Washington $80,200 to $216,300
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
Originally posted on Himalayas
Software Engineer, AI & Application Engineering (Contingent)
Coforma
Note: This opening is contingent upon Coforma receiving the award for the underlying contract associated with this project. We will keep you updated on the award status throughout the interview process and will inform you immediately if there are any changes regarding the availability of this position.
This role combines full-stack web application engineering with hands-on AI and machine learning development, enabling you to deliver both the user-facing systems that serve federal employees and retirees and the AI-powered capabilities that make those systems smarter and more efficient over time.
Join us to build software that makes an impact and implement human-centered solutions that we can be proud to say we worked on together.
If you’re passionate about improving lives through digital products and services, Coforma is a great company for you.
$150,235 to $169,146 Annual Salary + Benefits + Growth Potential
Placement within this range will be based on the competency level of the candidate. An offer will be made at one of the following tiers:
- Tier 1 — $150,235.80: Meets stated qualification and experience requirements. May need guidance and training beyond onboarding to perform the more complex functions of the role.
- Tier 2 — $159,691.20: Experienced and fully competent. Will be able to independently perform key responsibilities of the role once onboarding is completed.
- Tier 3 — $169,146.60: Highly experienced and can perform all responsibilities of the role at a higher level than expected once onboarding is completed.
- Arizona
- California
- District of Columbia
- Florida
- Georgia
- Idaho
- Illinois
- Maryland
- Massachusetts
- Montana
- Nevada
- New Jersey
- New York
- North Carolina
- Oregon
- South Carolina
- Tennessee
- Texas
- Virginia
- Washington
- Wisconsin
What You’ll Do (Key Responsibilities)
-
Application Engineering:
- Build modular, responsive web applications using React and/or Vue.js in alignment with accessibility and UX best practices.
- Design and implement secure, scalable APIs using TypeScript, ASP.NET Core, or Java (Spring Framework).
- Integrate with enterprise systems via SOAP/RESTful APIs with robust error handling.
- Implement authentication, authorization, and secure configuration in accordance with client agency security policies.
- Optimize database access and performance using SQL Server and Entity Framework Core.
- Add observability through structured logging, metrics, and tracing and support incident response with clear runbooks.
-
AI and Machine Learning:
- Design and implement AI agents and large language model (LLM)-powered applications that automate and enhance retirement data workflows.
- Build, evaluate, and maintain machine learning models for classification, prediction, and anomaly detection.
- Integrate LLMs into production systems using prompt engineering, retrieval-augmented generation (RAG), and agentic frameworks.
- Develop and maintain data pipelines that ingest, validate, and transform large-scale structured and unstructured data.
- Apply explainable AI practices appropriate for a regulated, auditable government environment.
- Track model performance and manage the machine learning (ML) lifecycle using tools such as MLflow.
-
Collaboration and Delivery:
- Participate in Agile ceremonies, conduct code reviews, and contribute to release planning and documentation.
- Work across technical and policy teams to translate business requirements into reliable, AI-driven solutions.
- Uphold software engineering best practices such as version control, CI/CD, testing, and peer review across both application and AI workstreams.
What We're Looking For
Who You Are and What You Know (Knowledge and Experience Requirements)
- Full-time resident of the contiguous United States (must be legally authorized to work in the US now and in the future without sponsorship)
- Ability to pass a Public Trust background check and any applicable background and/or security checks related to project requirements
- Proficiency in React, Vue.js, JavaScript, TypeScript, ASP.NET Core, and Java (Spring Framework)
- Strong SQL skills and experience with SQL Server as well as familiarity with EF Core
- Experience with enterprise integrations including message queues, database RPC, REST, and SOAP APIs
- Understanding of authentication, authorization, and security best practices
- Hands-on experience building or deploying LLM-based solutions (e.g., OpenAI, Anthropic, Azure OpenAI, or open-source models)
- Familiarity with agentic AI patterns (tool use, planning, memory, and multi-step reasoning)
- Experience with RAG pipelines, vector databases, and embedding-based retrieval
- Experience using coding agents such as CoPilot or Claude Code
- Effective prompt engineering and experience evaluating LLM outputs for reliability and correctness
Preferred Qualifications and Experience
- 5+ years of experience building applications with open-source programming languages
- 5+ years of experience working with modern frameworks, libraries, or runtimes
- 5+ years of experience working with APIs and databases of various types
- 5+ years of experience working with infrastructure tools and Infrastructure as Code
- Experience developing software in a remote environment
- Experience working in the digital services, federal government, or federal government contracting industries
Other
- Internet: Will prioritize and maintain access to strong, reliable internet for the remote nature of our work, except when on vacation or holiday.
- Security: Will keep the highest security practices to ensure privacy and security of Coforma and client information, given the nature of our work, even when on vacation.
- Travel Flexibility: On request and with advanced notice, will attend in-person events such as meetings, workshops, and trainings as assigned for projects that require it.
- Brand Representation: Will represent Coforma professionally and sincerely, modeling our Company Values in all interactions.
Originally posted on Himalayas