Fusemachines: Applied AI Engineer (Automation)
Company Name
Headquarters: Nepal
URL: https://fusemachines.com/
Role Overview
As an Applied AI Engineer(Automation), you will deliver high-impact AI and automation solutions for clients—owning work from requirements discovery through prototype and production deployment. You’ll build reliable, maintainable systems that integrate LLMs into real business workflows via APIs, automation platforms, and backend services.
This is a mid-to-senior individual contributor role. You’ll collaborate closely with Solutions Architects, Delivery/Engagement leads, and Product Managers to scope, build, ship, and iterate on client solutions.
Key Responsibilities
- Design & Deploy: Design, develop, and deploy tailored AI and automation solutions aligned to client objectives.
- Build Workflows & Services: Translate business problems into production-grade AI workflows and services using Python, automation tools (n8n/Make/Zapier or similar), and LLM platforms/APIs (e.g., OpenAI, IBM watsonx.ai, Amazon Bedrock), plus retrieval systems.
- Agentic Systems: Build and deploy agentic workflows using LangChain, LangGraph, and Google ADK, including tool calling and structured outputs.
- Retrieval & Knowledge Systems: Implement RAG pipelines using vector databases and search technologies (e.g., Pinecone, Elasticsearch, pgvector) and graph databases when appropriate.
- Prototype → Production: Ship fast prototypes, then harden them into scalable systems (testing, reliability, deployment, monitoring) independently or with a team.
- Client Partnership: Participate in discovery, run technical calls/demos when needed, and communicate tradeoffs clearly to client and internal stakeholders.
- Ongoing Support & Iteration: Improve deployed solutions through feature work, bug fixes, monitoring, prompt/model improvements, and additional automations.
- Documentation: Produce clear technical documentation, client demos, and internal playbooks to enable reuse and scalability.
- Continuous Learning: Stay current on LLM tooling and delivery best practices to improve quality and speed.
Success in This Role Looks Like
- Solutions consistently meet or exceed client expectations and show measurable impact (time saved, cost reduced, improved conversion/deflection, faster cycle time).
- Clients trust you as a go-to engineering partner and expand usage of deployed AI workflows.
- Deliveries are production-ready: monitored, testable, documented, and maintainable.
Required Qualifications
- 3–8 years of software or AI engineering experience (mid-to-senior).
- 2–3+ years of AI Automation, Generative AI, or Agentic AI (mid-to-senior).
- Strong Python engineering skills and experience building APIs/services (e.g., FastAPI).
- Hands-on experience integrating LLMs (e.g., OpenAI APIs or equivalents), including prompt design, structured outputs, and basic evaluation practices.
- Experience with at least one workflow automation platform (n8n, Make, Zapier, or similar) and building reliable integrations.
- Familiarity with RAG fundamentals and retrieval systems (embeddings, vector search); exposure to vector databases and/or Elasticsearch.
- Production engineering fundamentals: Docker, cloud deployment (AWS/GCP/Azure/IBM), and experience with async/queuing patterns (e.g., Celery, Redis, Kafka).
- Comfort operating in a client-facing environment: technical calls, demos, and collaborating with cross-functional stakeholders.
Preferred Qualifications
- Experience with fine-tuning LLMs or other ML models; broader ML exposure is a plus (not required).
- Familiarity with observability and tracing (e.g., LangSmith, OpenTelemetry) and prompt/version lifecycle management.
- Experience with graph databases / knowledge graphs.
- Familiarity with data governance and AI governance concepts (PII handling, auditability, access controls, risk awareness).
- Prior consulting experience or work in fast-paced startup environments.
To apply: https://weworkremotely.com/remote-jobs/fusemachines-applied-ai-engineer-automation
Spotify : Senior Machine Learning Engineer, Personalization
Company Name
Headquarters: Sweden
URL: https://newsroom.spotify.com/company-info/
You’ll join a team working at the intersection of machine learning, music understanding, and user experience. We focus on generating music sessions powering experiences like systems that power conversational playlist generation to give users more adaptive and intuitive control over what they listen to.
This team collaborates closely with product, design, user research, and data science to build personalized, high-impact features used by hundreds of millions of listeners worldwide.
What You'll Do
- Design, build, evaluate, and ship LLM-based solutions that give users more adaptive control over their listening experience
- Work on prompted playlist experiences with a focus on music fulfillment and session generation
- Collaborate with cross-functional partners across user research, design, data science, product, and engineering
- Prototype new ML approaches and bring them into production at global scale
- Build and improve systems that connect artists and fans in personalized and meaningful ways
- Contribute to the development of scalable ML systems serving hundreds of millions of users
- Promote best practices in ML system design, testing, evaluation, and deployment across the organization
- Actively contribute to a strong community of machine learning practitioners at Spotify
Who You Are
- You are experienced in machine learning and enjoy solving complex real-world problems in collaborative environments
- You have a strong background in machine learning, natural language processing, and generative AI
- You are comfortable applying theory to build real-world, production-ready applications
- You have hands-on experience building and deploying end-to-end ML systems at scale
- You are familiar with LLM-based systems and techniques for improving them using human feedback such as reinforcement fine-tuning, DPO, or similar approaches
- You have experience designing modular ML architectures and writing technical specifications in partnership with product teams
- You are experienced with large-scale distributed data processing tools such as Apache Beam or Apache Spark
- You have worked with cloud platforms like GCP or AWS
Where You'll Be
- This role is based in New York
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
To apply: https://weworkremotely.com/remote-jobs/spotify-senior-machine-learning-engineer-personalization
Bjak: Senior QA Automation Engineer
Company Name
Headquarters: Malaysia
URL: https://bjak.my/en
If you enjoy building cutting-edge platforms and ecosystems to provide equal access to financial services for the masses, we'd love to speak with you!
Your Mission:
-
Design, develop, and enhance robust automation frameworks using modern tools (e.g., Playwright, Cypress, Selenium).
-
Write clean, maintainable automated test suites for web, API services, and other application types.
-
Integrate automated tests into Git-based CI/CD pipelines (e.g., GitHub Actions, Jenkins) to support continuous delivery.
-
Execute and manage functional, regression, integration, and specialized performance tests.
-
Participate in requirement reviews to define test scenarios, identify edge cases, and ensure maximum test coverage.
-
Perform root cause analysis of failures and collaborate directly with development and product teams to resolve defects and ensure quality metrics are met.
-
Maintain test data, mocks, and environments, and build specialized tooling (e.g., monitoring/reporting dashboards) to improve QA efficiency.
-
Document test plans, test cases, automation design decisions, and contribute to the continuous improvement of overall QA processes and best practices.
Requirements:
-
Bachelor's Degree in Computer Science, Software Engineering, or related fields.
-
3+ years of experience in QA Automation for backend services and cloud infrastructure.
-
Strong experience with automation tools such as Playwright, Cypress, Selenium, or Appium.
-
Proficiency in JavaScript/TypeScript is a must
-
Solid understanding of REST APIs, automated API testing (Postman, Newman, REST Assured).
-
Experience with CI/CD pipelines and version control (Git).
-
Knowledge of software testing methodologies and QA best practices.
-
Familiarity with microservices, cloud platforms (AWS/GCP), and containerization (Docker/Kubernetes) is a plus.
Bonus Points:
-
Experience with performance testing (Locust, k6, JMeter).
-
Experience with contract testing (PACT).
-
Security testing fundamentals (OWASP).
-
Understanding of SQL/NoSQL databases.
-
Previous work in Agile/Scrum environments.
Benefits:
-
Innovative Challenges: Work on fast-moving, challenging, and unique business problems.
-
Career Growth: Benefit from strong learning and development plans for your career growth.
-
Global Environment: Thrive in an international work environment with a flat organizational structure.
-
Competitive Salary: Receive a competitive salary package.
To apply: https://weworkremotely.com/remote-jobs/bjak-senior-qa-automation-engineer
Chess.com: Senior ML Engineer
Company Name
Headquarters: California, US
URL: https://www.chess.com/about
About You
You believe in the power of ML and AI to build amazing, interesting, and insightful products and services for humanity… and you’d love to do that in chess!
What you'll do
- Own ML-driven product features, identifying opportunities through to modeling, deployment, experimentation, and impact.
- Partner with Product, Leadership, Growth, and Data Science to determine which problems should (and shouldn’t) be solved with ML, define success metrics, and iterate based on real-world performance.
- Design, build, and ship scalable ML systems, including data pipelines, training workflows, and production model serving infrastructure.
- Prototype rapidly and iterate regularly, developing repeatable evaluation frameworks, running experiments, and improving models based on results
- Shape our ML architecture and MLOps practices, establishing standards for experimentation, deployment, monitoring, and retraining as we scale.
- Drive innovation in Generative AI, exploring how we can best use LLMs and agents to power new user experiences and internal productivity tools.
- Provide technical leadership and mentorship, mentoring more junior team members, influencing our roadmap, and raising AI/ML literacy across the company.
Preferred Skills
- 5+ years of demonstrated, hands-on experience building scaled ML systems, training large ML models, or equivalent experience.
- 1+ year of AI engineering experience.
- Strong technical skills and judgment around coding, testing, and building for scale.
- Strong practical ML knowledge, solid knowledge of ML theory, and a working understanding of the AI application stack and lifecycle in the context of foundation models, from evaluation to deployment.
- High sense of ownership and a drive to deliver impact in a fast-paced, evolving, ambiguous environment.
About the Opportunity
- This is a full-time opportunity
- We are 100% remote (work from anywhere!)
---
You can learn more about us here:
- https://www.chess.com/article/view/how-chess-com-virtual-team-works-together
- https://www.chess.com/about
To apply: https://weworkremotely.com/remote-jobs/chess-com-senior-ml-engineer
Lemon.io: Senior AI Engineer / Data Annotator
Company Name
Headquarters: New York, NY
URL: https://lemon.io
Are you a talented Senior Engineer looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe.
What we offer:
- The rate depends on your skills and experience. We've already paid out over $11M to our engineers.
- No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best.
- We'll manually find the best project for you according to your skills and preferences.
- Choose a schedule that works best for you. It’s possible to communicate async or minimally overlap within team working hours.
- We respect your seniority so you can expect no micromanagement or screen trackers.
- Communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah?
- We will support you from the time you submit the application throughout all cooperation stages.
- Most of our projects involve working in a fast-paced startup environment. We hope you like it as much as we do.
- Through our community, we will connect you with the best developers from more than 71 countries.
We are seeking specialists in AI/Data: AI Engineers, Data Annotators, Data Engineers, MLOps Engineers, Data Analysts, and Data Scientists. Below are the requirements for some of the roles:
Requirements – AI Engineers:
- 3+ years of commercial experience applying AI to practical technology solutions;
- 3+ years of experience with Python required; experience with other programming languages commonly used in AI is a plus;
- At least 3 years of experience with LLMs and 2+ years of experience in AI agent development, LangChain, or OpenAI required, OR 2+ years of expertise with LangChain and OpenAI;
- Familiarity with AWS, GCP, or Azure required;
- Experience developing and shipping AI agents.
Requirements – Data Annotator:
-
4+ years of commercial experience as an engineer;
-
3+ years of commercial experience with Python.
-
Strong technical skills: as a Senior Engineer, you are expected to be able to create projects from scratch and have a deep understanding of application architecture.
-
Clear and effective communication in English — advanced ability to discuss business tasks, justify decisions, and communicate issues. Good self-presentation is also essential for upcoming client calls.
-
Strong self-organizational skills — ability to work full-time remotely with no supervision.
-
Reliability — we want to trust you and expect that you won’t let us and the client down.
-
Adaptability and Flexibility — the ability to onboard the project promptly after accepting it and start delivering results quickly.
Sounds good for you? Apply now and join the Lemon.io community!
NOT YOUR TECH STACK?
We have multiple projects available for Senior Developers. If you have 4+ years of commercial software development experience and are proficient in any of the following areas: React & Python, React & Node, React & Ruby, PHP & Angular, PHP & Vue, Vue & Node.js, React & .NET, Android & iOS, Angular & .NET, Angular & Node.js, Vue & .NET, Python & Vue, MLOps, React & Java, Data Science, Blockchain (Web3/Solidity/Solana), Symfony & React, Symfony & Vue, Symfony & Angular, Symfony & JavaScript & Next.js & TypeScript, Data Analysis, React & PHP, Data Engineering, DevOps, React & Golang, Svelte & Python, Svelte & Node, Svelte & TypeScript, Rust, Golang, Shopify & JavaScript, Vue & Nuxt, Python & Node, Angular & TypeScript, Ruby & Ruby on Rails, React Native & Ruby, React Native & Python, PHP & Laravel, .NET & C#, Java & Spring, Unreal Engine & C++, Python & LLM, Unity, Machine Learning Engineering, Python & Flask — we’d be happy to connect and match you with a suitable project.
If your experience matches our requirements, be ready for the next steps:
- VideoAsk — watch a short video about our startup, up to 10 minutes
- Complete your profile on our website
- 30-minute screening call
- Technical interview
- Feedback
- Magic Box (we are looking for the best project for you).
We do not provide visa assistance, and our cooperation model does not include the benefits typically offered with direct hire.
P.S. We work with developers from 71+ countries in different regions: Europe, LATAM, the U.S (if you are an owner of W-9 ben form), Canada, Asia (Japan, Singapore, South Korea, Philippines, Indonesia), Oceania (Australia, New Zealand, Papua New Guinea), and the the UK. However, we have some exceptions.
At the moment, we don’t have a legal basis to accept applicants from the following countries:
- European: Hungary, Iceland, Liechtenstein, Kosovo, Belarus, Russia, and Serbia.
- Latin America: Cuba and Nicaragua
- Most Asian countries and Africa.
We expand and shorten the list of exemptions regularly.
Do you represent a company with engineers who match the description and want to collaborate with us through staff augmentation? Then register here.
To apply: https://weworkremotely.com/remote-jobs/lemon-io-senior-ai-engineer-data-annotator
Philo: Lead Backend Software Engineer (Product API)
Company Name
Headquarters: San Francisco, CA, Brooklyn, NY, Cambridge, MA or remote
About Philo
Philo is building the future of television. Our product lets you watch your favorite shows on all the devices you care about, with seamless playback, insightful discovery, and effortless sharing. In short, we’re building the TV experience that we’ve always wanted for ourselves.
We’re a company that puts people first — both our subscribers and our team. At Philo, our philosophy is to empower our colleagues to do their best work while supporting each other in pursuing shared goals. We value pragmatism, pride in our work, and passion. We believe in having transparency and openness across all parts of the company.
We are committed to diversity and inclusion as we grow the Philo team and shape the future of TV. We believe that a diverse set of voices and perspectives on our team enables us to innovate faster and create the best experience for our subscribers.
Philo is headquartered in San Francisco, with additional offices in New York and Cambridge, MA. Our leadership team includes a cofounder of Facebook as well as alums of Meraki and HBO. Philo is backed by NEA and industry partners including Discovery, Viacom, AMC, and A&E.
Lead Backend Software Engineer (Product API)
Philo aims to connect customers with their favorite shows, help them discover new favorites, and get them seamlessly into the video player watching their next shows. The Product API team is central to this mission and powers virtually every non-media interaction in our application delivering a personalized experience for millions of users across web, mobile, and connected TV platforms.
The team builds out the Philo show catalog and exposes it via search, ML powered recommendation, and platform integration like search on Roku, FireTV, and tvOS. They provide a robust API to clients platforms to access this catalog along with features needed for a streaming service like saving shows, sending notifications, and running experiments. They do this all while load testing and scaling the system to millions of users and considering security and privacy. A challenge for the team is to support many different clients and the team has built out frameworks, infrastructure, and APIs to enable this. For example, building out a framework on top of GraphQL to dynamically change the home page instantly and across all platforms without any client modification allowing for content curation, user personalization, and all types of home page experimentation.
Engineering leads at Philo lead by example, and are expected to ship features, triage bugs, manage releases, and generally advocate for quality throughout the codebase. We are seeking an enthusiastic, experienced backend engineer with a deep technical background building scalable APIs, services, and platform infrastructure. You will contribute to the technical vision and roadmap for Product API, drive architecture and reliability with strong observability, coordinate cross-team delivery to unblock new user experiences, and ensure partner integrations land smoothly. You'll model best practices to the team, unblock your teammates when they are stuck, and help ensure platform stability and clarity of contracts as the team delivers multi-quarter outcomes.
Responsibilities
- Provide technical leadership to members of the Product API team, including input on system architecture and design tradeoffs, as well as coaching other members of the team and mentoring new hires.
- Collaborate with product and client engineering teams to design and deliver GraphQL APIs that enable rich, performant user experiences while maintaining clean separation of concerns and optimal client-server interactions.
- Own and evolve critical product subsystems including recommendations, catalog, search, in-app notifications, user preferences, viewing history, collections, experiments, and feature flags.
- Build and maintain proxy and augmentation layers that integrate domain services from across the organization (such as video infrastructure, recommendations systems, and search) into a cohesive, unified API.
- Drive continuous improvements to the reliability, performance, scalability, and maintainability of Philo's product API infrastructure, ensuring sub-second response times and high availability across all endpoints.
- Collaborate with data science and product analytics teams to instrument the API layer for experimentation, A/B testing, and feature rollouts, enabling data-driven product decisions.
- Build and enhance observability tools to proactively monitor API performance, identify bottlenecks, debug issues, and ensure optimal cache utilization across the system.
- Work with infrastructure teams to optimize database queries, implement effective caching strategies, and ensure DataServer scales efficiently as Philo's user base grows.
Qualifications
- 8+ years of software development experience.
- 2+ years of experience mentoring and providing technical guidance to other engineers (bonus points for experience or interest in managing engineering teams).
- Strong experience designing and implementing GraphQL APIs at scale (bonus points for experience with complex schema design, query optimization, and federation patterns).
- Proven track record of building highly efficient and highly available backend services using NodeJS, Ruby, Golang, Python, or similar programming languages.
- Experience operating in cloud computing environments using modern software deployment technologies (e.g. Docker, Kubernetes, AWS).
- Deep understanding of API design principles, RESTful and GraphQL patterns, caching strategies, and performance optimization techniques.
- Experience working with large amounts of data and making data-based decisions to prioritize projects, including familiarity with relational and non-relational databases and modern data warehousing and querying with SQL.
- Strong systems thinking with the ability to design cohesive API abstractions that cleanly separate concerns while enabling flexibility for diverse client needs.
- Experience building proxy and aggregation layers that integrate multiple backend services into unified APIs.
- Familiarity with experimentation frameworks, feature flag systems, and A/B testing infrastructure.
- Experience and aptitude for collaborating and communicating with internal stakeholders across product, design, client platform engineering, and data science teams.
- Understanding of video streaming product ecosystems and the unique challenges of building APIs for multi-platform applications (web, mobile, TV).
- Expertise in either product-facing API development or machine learning systems and model serving infrastructure.
We are language agnostic, but most of our backend code is written in Golang, NodeJS and Ruby, with some C++ and Python. Our services run on Kubernetes, and we practice continuous deployment across all of our systems.
More about Philo
At Philo, we’re a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture.
We’re committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We’re committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email recruiting@philo.com and we’ll work with you to meet your needs.
Philo offers 70+ top-rated networks, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+.
Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast.
Philo is headquartered in San Francisco, with offices in New York and Cambridge, MA. Our leadership team includes a Facebook co-founder and alums from Meraki and HBO, backed by NEA and industry partners like Discovery, Viacom, AMC, and A&E.
Join us at Philo and be part of a team that's shaping the future of TV!
Projected Start Date: ASAP
Status: Full-time
Location: San Francisco, CA, Brooklyn, NY, Cambridge, MA, or remote
Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location:
- San Francisco, New York City: $200K - $235K
- Boston, DC Metro, Los Angeles, Seattle: $190K - $225K
- Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $189K - $215K
- Texas, Florida: $170K - $205K
We value a diverse and inclusive workplace and we welcome people of different backgrounds, experiences, skills, and perspectives. Philo is an equal opportunity employer. We believe that everyone does their best work when they are supported by each other and the company, and we offer a generous set of benefits to make sure the Philo team is happy and healthy. Here is a sampling of the benefits we offer our team:
- Full health, dental and vision coverage for you and your family
- 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay)
- Flexible working hours
- Up to 20 weeks of fully paid parental leave
- Unlimited paid time off for vacation and sick leave
- $2,000 annual vacation bonus (we pay you to take a two week vacation)
- $5,250 annually for professional development and educational assistance
- $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter)
- $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco)
- Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps
- Dog-friendly office
- And much more!
For California Residents: Philo’s CCPA Notice at Collection – Employees, Applicants, Owners, Directors, Officers and Contractors
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
To apply: https://weworkremotely.com/remote-jobs/philo-lead-backend-software-engineer-product-api
Manifest Cyber Public: Senior Backend Application Engineer - Product & Platform
Company Name
Headquarters: Remote-US
Manifest is hiring a highly qualified, Senior+ backend software engineer responsible for designing and scaling new and existing web services and ETL architecture to support hundreds of thousands of transactions per second. This role will drive high-performance, resilient system designs in a fast-paced, data-intensive environment.
The impact you will have:
- Architect and build robust, fault-tolerant web and ETL services that scale to high throughput.
- Act as a key communicator, bridging gaps between teams, clarifying technical concepts, and ensuring alignment across projects.
- Identify and implement improvements in system performance and processes, ensuring the company remains competitive in a fast-paced market.
- Design and build new features for the Manifest platform to be used by critical organizations around the world.
As a Senior Backend Engineer - Product & Platform:
- Architect and implement scalable web services and ETL pipelines
- Design high-performance systems that efficiently handle 10K's+ transactions/sec
- Collaborate with engineering teams to optimize existing systems and integrate new technologies
- Develop robust monitoring, testing, and deployment strategies for mission-critical services
- Define and maintain the high standards of our engineering culture. As a part of a high performing engineering team, you’ll help recruit and onboard your colleagues
- Work closely with product management, designers, and other engineers
- Resolve issues together quickly and collaboratively
- Communicate internally and externally on what we’re building and why it’s special
As an experienced Backend Engineer you bring the following skills and experience to the team:
- 8+ years of experience in software engineering, with a focus on web services and ETL systems
- Proven track record scaling high-volume, data-intensive systems
- Expertise in distributed systems, microservices, and cloud architectures
- Familiarity with containerization, orchestration, and CI/CD pipelines
- High proficiency in our primary stack (Typescript, Mongo, Go, Python) is not strictly required, but you should be familiar enough to be able to quickly spin up on languages applicable to your role.
- Previous experience with commercial software products (SaaS and on-prem) that support 3rd party/external customers.
- Experience working in early stage technology (B2B SaaS) startups
- Strong communication skills and the ability to work effectively in a collaborative environment
Bonus but not required:
- Strong experience with MongoDB in particular and other data stores as well
- Experience with or general familiarity with AI/ML, LLMs, & model tuning
- Background or experience in infosec, red teaming, or broader cybersecurity concepts
- Experience with other FOSS and Commercial SDLC security and DevSecOps tooling including SCA, DAST, SAST, etc.
The benefits of working at Manifest include:
- Help organizations get new-found visibility into their software, and be more secure!
- Fully remote work (with potential for hybrid co-working)
- Unlimited PTO (which we take seriously)
- Medical/dental/vision insurance coverage for you and your dependents paid at 100%!
- Competitive salary & meaningful stock options
- 401(k) and retirement options
- ️ Help get in at the ground floor of a well-funded, early stage startup!
- Additional benefits to come (retirement, holiday gifts, etc.)
31 Green Ltd: Full Stack Developer - Backend Focus
Company Name
Headquarters: Islamabad, Federal, Pakistan
Job Title: Full Stack Developer (Backend / Python / Pose Models)
Company: 31 Green Ltd
Job Type: Full Time – Remote / Hybrid
Experience: 5+ years
About Us
31 Green is a fast-growing and innovative organization building the digital infrastructure that powers next-generation HealthTech solutions. We are committed to transforming health outcomes by combining advanced AI, deep learning, and real-time movement analysis. We are looking for a highly skilled Full Stack Developer with deep expertise in Python and Pose Estimation technologies to join our team.
Role Overview
The Full Stack Developer will play a key role in developing and scaling the backend architecture of a cutting-edge health application. This role requires strong proficiency in Python, deep learning frameworks, and backend deployment. You will work on real-time human movement analysis through AI Pose Estimation Models, contributing directly to patient care optimization.
Key Responsibilities:
- Develop and maintain backend systems using Python with Django/Flask/FastAPI.
- Implement Deep Learning and Computer Vision pipelines with TensorFlow/PyTorch.
- Integrate Pose Estimation models into production-grade environments.
- Manage and optimize databases including PostgreSQL, MongoDB, and Redis.
- Build and deploy applications using Docker and cloud platforms (AWS/GCP/Azure).
- Ensure full compliance with HIPAA/GDPR and secure handling of medical data.
- Collaborate with technical teams to optimize backend scalability and performance.
- Troubleshoot system issues and enhance system resiliency and automation.
- Prepare documentation and support best practices across development processes.
Skills & Qualifications:
- Absolute mastery of Python with hands-on experience using Django/Flask/FastAPI.
- Proven experience with Deep Learning frameworks (TensorFlow/PyTorch).
- Strong understanding of Computer Vision and Pose Estimation Models.
- Proficiency with relational and non-relational databases (PostgreSQL, MongoDB, Redis).
- Skilled in Docker and deployment across AWS, GCP, or Azure.
- Knowledge of HIPAA/GDPR and security protocols for health data.
- Strong analytical, problem-solving, and debugging skills.
- Excellent communication and time management abilities.
Preferred Experience:
- Previous experience working on HealthTech or MedTech platforms.
- Successful deployment of AI/ML models into production environments.
- Experience integrating medical movement datasets or biomechanical data.
- Familiarity with CI/CD tools, microservices, and distributed architecture.
How to Apply
If you are passionate about health technology, AI innovation, and building solutions that directly improve patient outcomes — we would love to hear from you!
Please send your CV, along with a Cover Letter to: zainab.zahra@31g.co.uk
To apply: https://weworkremotely.com/remote-jobs/31-green-ltd-full-stack-developer-backend-focus
Reveleer: Full Stack AI Engineer
Company Name
Headquarters: United States
URL: https://www.reveleer.com/
Full Stack AI Engineer
Remote Opportunity
As the industry’s pioneering value-based care (VBC) technology platform, Reveleer is purpose-built to solve the most pressing real-world challenges faced by providers and health-plan organizations today. By unifying retrieval, clinical intelligence, risk adjustment, quality improvement, and member management solutions into one intelligent, AI-powered system, Reveleer streamlines fragmented workflows to supercharge productivity, enhance care quality, and optimize performance on high-priority value-based initiatives.
About the Team:
You will be joining a small team within Reveleer AI division, in charge of developing the next generation agentic model for clinical prospective suspecting. As a full stack software developer in our team, you will be working in the unique environment of a small team with large scale impact to enable the expansion of our product and fast growth of our users.
Responsibilities:
- Obsess over the details and applying first principle mindset to address challenges.
- Understand business needs and build end-to-end product experiences.
- Solve product problems and build delightful user experiences for our users.
- Contribute to building and scaling infrastructure.
- Develop and continually improve observability of activity and infra at scale.
- Continually challenge status quo and existing solutions to improve scalability & efficiency
- Partner closely with other engineers and scientists to build highly scalable, ML driven system(s), help run experiments, and surface insights across all points of customer interactions
- Resolve problems and provide daily troubleshooting, analysis, and problem definition for production issues.
Required Skills:
- 5+ years of experience building high quality code and infrastructure.
- 3+ years of experience working with large-scale systems.
- 2+ Experience with AWS and Google Cloud
- A passion for building delightful Customer-centric user experiences, from the backend to the frontend.
- Proven curiosity with the latest Generative AI advances.
- Hands-on experience in client-side development using ReactJS, CSS, JavaScript, Typescript.
- Hands-on experience in NodeJS and MongoDB.
- Familiarity with common best practices, design and architectural patterns.
- Great problem-solving skills, eager to learn and face new challenges.
- Highly motivated, self-learner with great attention to detail.
- Thrive in a collaborative environment involving different functions, stakeholders, and subject matter experts.
- Attention to detail, especially around performance, accessibility, reliability, and security.
WHAT YOU’LL RECEIVE:
- Competitive salary
- Medical, Dental and Vision benefits
- 401k match
- Generous PTO plan
Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
Reveleer E-Verifies all new hires.
Reveleer is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status or genetic information, in compliance with applicable federal, state and local law.
To apply: https://weworkremotely.com/remote-jobs/reveleer-full-stack-ai-engineer
Tether: AI Research Engineer
Company Name
Headquarters: El Salvador
URL: https://careers.tether.io/
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in reinforcement learning approaches for advanced models. Your work will optimize decision-making and adaptive behavior to deliver enhanced intelligence, improved performance, and domain-specific capabilities for real-world challenges. You will work across a broad spectrum of systems, including resource-efficient models designed for limited hardware environments and complex multi-modal architectures that integrate data such as text, images, and audio.
We expect you to have deep expertise in designing reinforcement learning systems and a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to developing, testing, and implementing novel reinforcement learning algorithms and training frameworks. Your responsibilities include curating specialized simulation environments and training datasets, strengthening baseline policy performance, and identifying as well as resolving bottlenecks in the reinforcement learning process. The ultimate goal is to unlock superior, domain-adapted AI performance and push the limits of what these models can achieve in dynamic, real-world environments.
Responsibilities
-
Develop and implement state-of-the-art reinforcement learning algorithms designed to optimize decision-making processes in both simulated and real-world settings. Establish clear performance targets such as reward maximization and policy stability.
-
Build, run, and monitor controlled reinforcement learning experiments. Track key performance indicators while documenting iterative results and comparing outcomes against established benchmarks.
-
Identify and curate high-quality simulation environments and training datasets that are tailored to specific domain challenges. Set measurable criteria to ensure that the selection and preparation of these resources significantly enhance the learning process and overall model performance.
-
Systematically debug and optimize the reinforcement learning pipeline by analyzing both computational efficiency and learning performance metrics. Address issues such as reward signal noise, exploration strategy, and policy divergence to improve convergence and stability.
-
Collaborate with cross-functional teams to integrate reinforcement learning agents into production systems. Define clear success metrics such as real-world performance improvements and robustness under varied conditions and ensure continuous monitoring and iterative refinements for sustained domain adaptation.
Job requirements
-
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
-
Proven experience with large-scale reinforcement learning experiments, including online RL techniques such as Group Relative Policy Optimization (GRPO), is essential. Your contributions should have led to measurable improvements in domain-specific decision-making and overall policy performance.
-
Deep understanding of reinforcement learning algorithms is required, including state-of-the-art online RL methods and other gradient-based optimization approaches like policy gradients, actor-critic, and GRPO. Your expertise should emphasize enhancing policy stability, exploration, and sample efficiency in complex, dynamic environments.
-
Strong expertise in PyTorch and relevant reinforcement learning frameworks is a must. Practical experience in developing RL pipelines, from simulation and online training to post-training evaluation and deploying RL-based solutions in production environments is expected.
-
Demonstrated ability to apply empirical research to overcome reinforcement learning challenges such as sample inefficiency, exploration-exploitation tradeoffs, and training instability. You should be proficient in designing robust evaluation frameworks and iterating on algorithmic innovations to continuously push the boundaries of RL agent performance.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
-
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
-
Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
-
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
-
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io
-
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
To apply: https://weworkremotely.com/remote-jobs/tether-ai-research-engineer
ContentJet Inc.: Automation & Integration Engineer
Company Name
Headquarters: Montreal, Canada
URL: https://www.contentjet.com
ABOUT CONTENTJET
ContentJet is a Canadian UGC creative agency that connects brands with creators to produce high-performing user-generated content at scale. Our delivery engine runs entirely on AI automation and intelligent integration infrastructure. Every AI agent, content pipeline, and creator workflow we operate depends on rock-solid automation plumbing. Our philosophy is simple: if a human is doing it manually and it’s repetitive, it should be automated. Period.
THE MISSION: BUILD THE INFRASTRUCTURE THAT ELIMINATES MANUAL WORK
Every AI agent and automation at ContentJet needs reliable infrastructure to run. You are the person who builds and maintains that infrastructure — the n8n workflows, API integrations, webhook flows, data pipelines, and server management that keep our AI-powered operations running 24/7 without human babysitting.
Your work directly enables the replacement of manual tasks: when the AI Agent Architect builds a creator sourcing agent, you build the n8n workflow that feeds it data and routes its outputs. When a new content pipeline is designed, you wire up the APIs (ElevenLabs, Creatomate, Metricool, Google Veo) and make sure it runs reliably at scale. When OpenClaw agents need to be deployed and maintained, you handle the infrastructure.
THE ROLE
You are the engine room of ContentJet’s AI operations. Every AI agent we build — whether deployed through OpenClaw, orchestrated via Claude Cowork, or built with Claude Code CLI — needs reliable execution infrastructure. You own the entire execution and integration layer.
You will use Claude Code CLI to rapidly build and debug integration scripts, custom n8n nodes, and data transformation logic. You will leverage Claude Cowork with MCP connectors when orchestrating complex multi-platform data flows that require intelligent routing. You will maintain the OpenClaw gateway infrastructure that keeps our agents accessible across Slack, Telegram, and web.
WHAT YOU WILL DO
-
Build and maintain complex n8n workflows that power creator pipelines, content production, outreach automation, and internal operations — replacing manual copy-paste, data entry, and coordination tasks
-
Use Claude Code CLI to rapidly develop custom integration scripts, n8n function nodes, data transformation logic, and debugging tools
-
Support Claude Cowork-orchestrated workflows by building the underlying API connections and data pipelines that MCP connectors rely on
-
Connect and orchestrate APIs: ElevenLabs, Google Veo 3.1, Creatomate, Metricool, Instantly, Apollo, Modash, TikTok, Monday.com, Slack, Google Drive, and more
-
Manage self-hosted infrastructure (n8n on VPS, OpenClaw deployments) — including deployment, updates, credential management, SSL, and troubleshooting
-
Support OpenClaw gateway infrastructure: ensure uptime, manage agent configurations, troubleshoot connectivity and tool availability issues across Slack/Telegram deployments
-
Build webhook-based integrations between AI agents (deployed via OpenClaw or standalone) and external platforms
-
Design error handling, retry logic, dead letter queues, and monitoring for production workflows and agent deployments
-
Optimize existing automation pipelines for speed, cost, and reliability (e.g., finance news video pipeline V7→V8+, creator outreach flows, content publishing automations)
-
Build automated reporting and notification systems that replace manual status updates and check-ins
-
Handle data transformation, formatting, and routing between systems — ensuring clean data flow across the entire automation stack
-
Maintain and improve the infrastructure layer that supports the AI Agent Architect’s deployments
-
Continuously identify integration bottlenecks and manual handoffs that can be automated away
MUST-HAVE SKILLS
-
n8n expertise (self-hosted is a must — not just cloud) — you can build complex multi-branch workflows with error handling, retries, and conditional logic
-
Claude Code CLI proficiency — comfortable using Claude as a coding partner to rapidly build integration scripts, debug issues, and develop custom solutions from the terminal
-
JavaScript and/or Python scripting for custom n8n nodes, data processing, API wrappers, and integration logic
-
REST API fluency: authentication (OAuth, API keys, bearer tokens), pagination, rate limiting, error handling, webhook verification
-
Webhook architecture: designing, securing, and debugging complex webhook flows across multiple platforms
-
Basic Linux/VPS administration: SSH, systemd, file management, logs, cron jobs, process monitoring
-
Experience with Docker (containerized deployments, docker-compose) — critical for managing OpenClaw and self-hosted services
-
Database basics: SQLite, PostgreSQL — enough to troubleshoot persistence issues, run queries, and manage credential stores
-
Understanding of MCP (Model Context Protocol) — how Claude Cowork connects to external tools and how to build/maintain those connections
NICE-TO-HAVE
-
Experience with Claude Cowork and MCP connector workflows
-
Experience deploying and managing OpenClaw or similar AI agent gateways in production
-
Experience with Make (Integromat) or Zapier in addition to n8n
-
Familiarity with video/audio APIs: ElevenLabs, Creatomate, HeyGen, Google Veo 3.1
-
Experience with email automation platforms (Instantly, Smartlead, Lemlist)
-
Knowledge of CI/CD, monitoring tools (Uptime Kuma, Grafana), or logging stacks
-
Familiarity with Slack API, Monday.com API, Telegram Bot API, or similar workspace/platform tools
-
Background in UGC, creator operations, or content production workflows
-
French or Arabic language skills
WHAT SUCCESS LOOKS LIKE
Within 30 days: You’ve audited and stabilized our existing n8n workflows, VPS infrastructure, and OpenClaw deployment, fixing known issues. You’re using Claude Code CLI daily to debug and ship fixes fast.
Within 60 days: You’re independently building new automation workflows for client and creator projects using n8n and Claude Code CLI. You’ve implemented monitoring for our OpenClaw gateway and critical production workflows. At least 5 manual processes have been replaced with automated pipelines.
Within 90 days: You’re managing 10+ concurrent production workflows, our infrastructure runs at 99%+ uptime, and you’re the go-to person for all integration, deployment, and infrastructure work. Manual data handling and coordination tasks are effectively eliminated from ContentJet’s daily operations.
HOW TO APPLY
Send a short message (no cover letter needed) with:
-
Which role you’re applying for (or both)
-
2–3 examples of AI agents, automations, or OpenClaw/Claude Code/Claude Cowork projects you’ve built (links, screenshots, or brief descriptions)
-
Your availability and rate expectations
We value builders over talkers. Show us what you’ve shipped. If it replaced manual work, even better.
To apply: https://weworkremotely.com/remote-jobs/contentjet-inc-automation-integration-engineer