Software-Engineer, AI-Engineer, Platform-Engineer Jobs

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Machine Learning/Artificial Intelligence powers innovation in all areas of the business, from helping members choose through personalization, to making payment processing easier. Building highly scalable and differentiated ML infrastructure is key to accelerating this innovation.

The Opportunity

Agents are one of the ways work gets done at Netflix — and the AI Platform is building the foundation they run on. The Agent Platform team owns the durable, horizontal substrate every agent at Netflix is built on, no matter which team ships it or which business it serves: the runtime agents execute in, the SDK developers build them with, the memory that lets them carry context across runs, the identity and permissioning that lets them act safely, and the tool and service interfaces they reach the rest of Netflix through.

We are a small team with outsized leverage — what we ship becomes the foundation for agents across all of Netflix. The hardest problems we work on have no vendor answer and no textbook: how a non-deterministic system earns trust at member scale and how memory and evaluation become a loop that makes agents measurably better, not just bigger.

This is a senior individual-contributor role for an engineer who wants to build that foundation hands-on — to own a core primitive end-to-end and set its technical direction, in a domain that is still being invented and where the frameworks turn over in months. The defining work is judgment about what to build and what actually moves the business — expressed in code and contracts the rest of the company depends on.

You will:

• Design, build, and operate a core agent primitive end-to-end — the runtime, the developer SDK, the memory layer, the tool and service interfaces, or the identity and permissioning substrate. You own it as a paved path other Netflix engineers ship production agents on, including the reliability and day-2 operations that non-deterministic systems running at very high — sometimes member-facing — scale demand.
• Build the loop that lets agents improve from their own experience. Capture each run's full reasoning-and-tool-call trajectory as structured, replayable data; turn real-world outcomes into evaluation signal; make memory compound across runs; and close the feedback loop so improved behavior ships behind eval gates and safe rollout. These are the most durable problems in the space — make them first-class platform capabilities with real contracts, not afterthoughts.
• Build the quality and safety surfaces teams can't ship agents without — the tracing, quality signals, and guardrail hooks that tell a team whether an agent is actually any good and contain non-deterministic behavior before it reaches production.
• Aim the hard problems at business impact. A pull toward hard technical problems is the baseline here — the differentiator is aiming it at the ones that move Netflix's business, from personalization and content to payments and the member experience. Know where an agent actually changes a member or business outcome, and let that decide what the platform takes on and in what order.
• Set technical direction and raise the bar. Make the hard architecture calls in your area, drive cross-team technical initiatives with ML scientists, product managers, and security, compute, and data partners, and define the clean interfaces a shared foundation depends on — leading through technical credibility, not authority.
• Iterate fast with real users. Ship, learn from how agent developers actually build, and turn that into durable platform capabilities rather than one-off fixes.

If you want the distance between "a frontier idea about how agents should work" and "the substrate every agent at Netflix runs on" to be one team, this is the role.

Minimum Qualifications

• Significant software engineering experience (typically 8+ years), with a track record of shipping and operating production systems — not just prototypes.
• Hands-on experience building, deploying, and operating LLM agents in production — systems that plan, call tools, observe results, and iterate — beyond chat-completion apps or demos.
• Experience evaluating agents the rigorous way: building eval suites, tracing, and quality signals, then iterating on the results to make agents measurably better.
• Strong fundamentals in designing and operating scalable, observable, fault-tolerant distributed systems.
• A track record of building SDKs, APIs, or libraries that other engineers build on — you think in contracts, versioning, and developer experience, not just features.
• Working fluency with modern agent frameworks and the tool/function-calling and MCP patterns they share — deep enough to have an opinion about where they help and where they get in the way.
• Proficiency in Python and its packaging tooling, plus one of Java, Go, C/C++, Rust, or Zig.
• A track record of choosing what to build by business impact, not technical interest alone — you partner closely with the teams and stakeholders you serve, and can point to outcomes that moved the business, not just systems you shipped.
• Strong written and verbal communication; comfort with ambiguity; able to drive both 0-to-1 and 1-to-100 work; effective across a distributed (US) team.

Preferred Qualifications

• Experience building memory or state systems for agents — context that compounds across runs — especially at high scale.
• Experience with the emerging class of agent concerns: agent identity and permissioning, guardrails and safety, and cost governance for LLM and agent workloads.
• Credibility in a relevant open-source ecosystem (agent frameworks, runtimes, evaluation, or developer tooling).
• Familiarity with our stack — Temporal, FastAPI, PostgreSQL, Kubernetes — and with large-scale build, release, CI/CD, and observability practices.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusionis a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.

Originally posted on Himalayas

At R1, we’re transforming how healthcare works by combining nearly two decades of revenue cycle expertise with advanced technology, including analytics, AI, intelligent automation and workflow orchestration. We pair that technology with the irreplaceable expertise of our people to help hospitals, health systems and medical groups improve financial performance, simplify administrative complexity and create better experiences for patients and providers.

All Together Better defines our culture and the way we work. We’re a diverse, global team united by a shared mission to make healthcare work better for all. Across technology, operations and support functions, our people bring deep expertise, empathy and ingenuity to the work we do. Here, collaboration fuels progress, adaptability sparks innovation and every voice can help shape what’s next for R1 and the future of healthcare.

About R37

R37 is R1’s AI innovation lab, building technology to transform healthcare.

Our flagship platform, Phare OS, uses AI and automation to improve critical pre-bill workflows, including authorization, utilization management, documentation and coding. By identifying and resolving issues before claims are submitted, Phare OS helps prevent denials, improve reimbursement and move revenue cycle work upstream.

What makes R37 different is the opportunity to build advanced AI at real-world scale. R1 works across 95 of the top 100 U.S. health systems, giving R37 access to the data, workflows and reach needed to make an immediate impact:

• 180M+ claims
• 550M+ patient encounters
• 1.2B+ workflow actions and outcomes annually

This is startup-level ownership with enterprise-level impact. You’ll build technology that moves from idea to real healthcare environments, solving complex problems at scale and changing how healthcare works.

Here's what you will experience working as a Senior Software Engineer:

• Lead the development and sustainment of secure, scalable, highly available production software, using AI coding agents as the primary means of implementation across the database, service, and application layers.
• Orchestrate multiple agents and parallel workstreams by decomposing complex features into well-scoped tasks with clear context, constraints, acceptance criteria, and verification plans.
• Design and maintain the team's agentic development environment, including project context files, reusable prompts, custom commands, hooks, MCP server integrations, and CI/CD guardrails.
• Set the standard for AI-generated code by validating output through automated testing, code review, security checks, performance measurement, and compliance with HIPAA and company data-handling requirements.
• Lead integrations with third-party AI platforms, LLM APIs, and AI-powered IVR or conversational voice solutions while partnering with Product Management, architects, and engineers to deliver intuitive, reliable products.
• Advance engineering practices across automation, auditability, infrastructure and policy as code, automated testing, data modeling, API development, query performance, concurrency control, and modern cloud-native delivery.
• Mentor junior engineers in prompting, context engineering, architecture, and critical review of AI output, while serving as a trusted subject-matter expert across diverse technical and business teams.

Required Skills:

• 7-10 years of software engineering experience, including significant production use of AI-assisted or agentic development, and a bachelor's degree or equivalent experience.
• Expert-level experience delivering production software through AI coding agents such as Claude Code, Cursor, GitHub Copilot, or similar tools, including multi-agent and parallel workflows.
• Advanced prompting and context-engineering skills, with the ability to design reliable workflows around model strengths, limitations, and failure modes and to verify AI-generated output against tests and source material.
• Experience configuring agent tooling, including MCP servers, custom commands, hooks, rules or project context files, and CI integration of agents.
• Expert code-reading and architecture-review skills across the full stack, including object-oriented development in C#, Java, or TypeScript and modern JavaScript frameworks such as React or Angular.
• Experience with APIs and web service standards, relational and non-relational databases, data modeling, distributed or message-driven systems, automated testing, version control, Agile delivery, and CI/CD.
• Strong cloud architecture, debugging, technical documentation, and communication skills, with the ability to manage multiple priorities, influence stakeholders, mentor others, and explain complex solutions clearly.
• Experience applying secure development and data-handling practices in environments involving confidential or regulated information.

For this US-based position, the base pay range is $101,100.00 - $206,802.61 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.This job is eligible to participate in our annual bonus plan at a target of 10.00%

The healthcare system is always evolving — and it’s up to us to use our shared expertise to find new solutions that can keep up. On our growing team you’ll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career.

Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team — including offering a competitive benefits package.

R1 RCM Inc. (“the Company”) is dedicated to the fundamentals of equal employment opportunity. The Company’s employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person’s age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.

If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at 312-496-7709 for assistance.

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Originally posted on Himalayas