As a Staff Engineer focused on AI Foundations, you'll balance hands-on engineering with strategic leadership. You'll ship production code while maintaining strategic perspective, focusing on high-leverage, technically challenging work. You'll elevate engineering quality across the team through code review and mentorship, proactively identify opportunities and misalignment across our Engineering, Product, and Design teams, and partner with EM, PM, and cross-functional leads to set the roadmap. You'll bring a research-oriented approach to novel AI quality challenges.

Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

Your responsibilities will include:

• Owning and evolving the technical foundations for our AI features, including AI quality and correctness evals, reliability and observability, model routing, and our LLM prompt composition framework (AIJSX)
• Shipping production code while maintaining strategic perspective, focusing on high-leverage, technically challenging or architecturally complex work
• Elevating engineering quality and effectiveness across the team, setting technical direction and raising the bar through code review, design feedback, and mentorship
• Proactively identifying opportunities and misalignment within EPD and our roadmap, helping resolve them through technical leadership
• Partnering with EM, PM, and cross-functional leads to set the roadmap for AI foundations and tooling
• Building systems that compound and enable other engineers to ship AI features faster and with higher quality

You'll bring:

• 7+ years of software engineering experience with at least 1 year building with AI generative technologies
• Prior relevant experience in developer tooling or frameworks, orchestration, observability and monitoring, ML quality, evals, or data engineering
• Prompt engineering and context engineering experience with deep understanding of LLM capabilities and limitations
• Expertise architecting, building, testing, and maintaining modern complex web applications
• Research-oriented approach to problem-solving with comfort working in ambiguity and exploring novel solutions to AI quality challenges
• Exceptional attention to detail and quality obsession, caring deeply about output quality across all dimensions
• Ability to design systems that balance security, usability, and performance
• Strong communication skills and experience influencing technical strategy across teams
• High EQ with empathetic, reflective, self-aware, growth-mindset approach

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $230K - $310K plus benefits & equity.

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This is a great fit if you care deeply about developer experience and want your engineering work to have outsized leverage: instead of shipping one feature, you're building the tools and systems that make dozens of features possible.

Responsibilities:

• Design and build shared UI components, libraries, and abstractions that product teams across Anthropic use to ship consistently and efficiently on web and mobile

• Contribute to the BFF API layer that powers Claude.ai's client applications,thinking carefully about clean contracts, performance, and reliability at the boundary between frontend and backend

• Improve developer velocity across the organization by reducing friction in our build, deploy, and testing pipelines

• Work on performance and reliability: identify and resolve latency issues, improve observability, and help establish high standards that the rest of the platform team can build on

• Partner closely with product engineering teams to understand their needs, unblock them when possible, and shape platform investments around where the most impact is

• Help maintain and evolve documentation and tooling that make the platform approachable for engineers joining or building on top of it

You may be a good fit if you:

• Have 5+ years of software engineering experience, with significant time spent building shared platforms, developer tools, or infrastructure that other engineers rely on

• Have strong practical skills in modern web technologies (React, TypeScript, Next.js) and experience designing or consuming APIs that serve frontend applications

• Care about developer experience and have a track record of building things that make other engineers more productive

• Have solid instincts around reliability, observability, and performance,and enjoy operationalizing those instincts in production systems

• Thrive in fast-paced, collaborative environments and enjoy working closely with cross-functional partners

• Pick up slack, even if it goes outside your job description

Strong candidates may also have experience with:

• Building shared component libraries or design systems for multiple surfaces (web, mobile, desktop)

• BFF architectures and API patterns that balance flexibility with consistency across client platforms

• Performance optimization and latency reduction in consumer-facing applications

• CI/CD, build systems, and deployment automation

• Observability and monitoring (metrics, logging, tracing)

• Working on AI/ML products or in rapidly evolving product environments

Candidates need not have:

• 100% of the skills needed to perform the job

• Formal certifications or education credentials

The annual compensation range for this role is $320,000-$405,000 USD.

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This role goes beyond building models; it's about designing agentic systems, AI-assisted workflows, and data-driven decision engines that help the company scale faster than headcount.

You will be at the forefront of developing the next generation of autonomous systems that power both customer-facing products and internal operations, from optimizing payment experiences to accelerating development, testing, troubleshooting, and product creation.

Responsibilities:

• Architect, build, and deploy LLM-powered applications that augment and automate key workflows across Yuno, from customer service and new product development to internal agentic workflows that optimize critical company processes.

• Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale.

• Develop AI-driven tools that create measurable business impact, improving efficiency, accelerating innovation, and driving revenue growth.

Operational Intelligence & Scalability:

• Identify areas across Yuno where AI can generate efficiency gains, reducing manual work, optimizing processes, and enabling smarter operations.

• Build AI systems that enable Yuno to scale without exponential growth in headcount, thereby creating sustainable productivity and organizational intelligence.

Data & Model Optimization:

• Lead fine-tuning and contextual optimization of AI models using Yuno's proprietary data.

• Continuously refine performance through structured feedback loops, observability metrics, and user interaction data.

• Ensure adherence to privacy, compliance, and ethical AI principles in all model development.

Cross-Functional Collaboration & Innovation:

• Work closely with data, product, and infrastructure teams to define the long-term AI roadmap for Yuno.

• Experiment with emerging AI technologies to identify new capabilities that can drive differentiation and strategic advantage.

• Contribute to a culture of experimentation, rapid iteration, and continuous learning across the AI function.

The skills you need:

• 5+ years of professional experience in AI/ML development, with at least 2 years focused on LLMs, RAG, or agentic systems.

• Strong engineering and product mindset, capable of balancing technical depth with strategic impact.

• Exceptional communication and collaboration skills to work across product, engineering, and data functions.

• Passion for pushing the boundaries of applied AI and creating systems that drive real business transformation.

• Willing to work from the Hyderabad office.

Minimum Qualifications:

• LLMs & RAG: Proven experience designing and deploying systems using models like GPT, Claude, Gemini, or similar, including Retrieval-Augmented Generation (RAG) pipelines and contextual retrieval systems.

• AI Agents & Multi-Agent Systems: Hands-on experience with Crew.ai, LangChain, LangGraph, or similar frameworks to build orchestrated agentic workflows.

• Fine-Tuning & Context Engineering: Expertise in supervised fine-tuning (SFT), LoRA, or custom dataset adaptation for domain-specific tasks.

• Programming & Frameworks: Proficiency in Python, GO, and AI/ML libraries such as PyTorch, TensorFlow, or JAX.

• AI Infrastructure: Experience designing scalable, production-ready AI systems in AWS, GCP, or Azure, with a deep understanding of vector databases, model serving, and inference optimization.

• Observability & Monitoring: Familiarity with LangSmith, LangFuse, or equivalent tools for tracking, debugging, and evaluating LLM performance.

• API Integration: Expertise in integrating AI systems with RESTful APIs and internal platforms to create seamless, usable products.

Preferred Qualifications:

• Experience using LlamaIndex, Hugging Face, or similar open-source frameworks.

• Strong understanding of context optimization, embedding strategies, and knowledge retrieval.

• Familiarity with MLOps, CI/CD pipelines, and production deployment best practices.

• Prior experience in fintech, payments, or other data-intensive and regulated industries.

• Analytical rigor and ability to translate business objectives into measurable AI outcomes.

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Research Engineer, Frontier Evals & Environments

Location

San Francisco

Employment Type

Full time

Department

Research

Compensation

• $205K – $380K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

The Frontier Evals & Environments team builds north star model environments to drive progress towards safe AGI/ASI. This team builds ambitious environments to measure and steer our models, and creates self-improvement loops to steer our training, safety, and launch decisions. Some of the team's open-sourced evaluations include GDPval, SWE-bench Verified, MLE-bench, PaperBench, and SWE-Lancer, and the team built and ran frontier evaluations for GPT4o, o1, o3, GPT 4.5, ChatGPT Agent, and GPT5. If you are interested in feeling firsthand the fast progress of our models, and steering them towards good, this is the team for you.

About you

We seek exceptional research engineers that can push the boundaries of our frontier models. Specifically, we are looking for those that will help us shape our empirical grasp of the whole spectrum of AI capabilities measurement and will own individual threads within this endeavor end-to-end.

In this role, you'll:

• Create ambitious RL environments to push our models to their limits

• Work on measuring frontier model capabilities, skills, and behaviors

• Develop new methodologies for automatically exploring the behavior of these models

• Help steer training for our largest training runs, and see the future first

• Design scalable systems and processes to support continuous evaluation

• Build self-improvement loops to automate model understanding

We expect you to be:

• Passionate and knowledgeable about AGI/ASI measurement

• Strong engineering and statistical analysis skills

• Able to think outside the box and have a robust “red-teaming mindset”

• Experienced in ML research engineering, stochastic systems, observability and monitoring, LLM-enabled applications, and/or another technical domain applicable to AI evaluations

• Able to operate effectively in a dynamic and extremely fast-paced research environment as well as scope and deliver projects end-to-end

It would be great if you also have:

• First-hand experience in red-teaming systems—be it computer systems or otherwise

• An ability to work cross-functionally

• Excellent communication skills

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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