Staff AI Software Engineer

What are we looking for

Were looking for a Staff Software Engineer with strong backend fundamentals who is excited about building production AI systems. This role is a great fit for a backend SWE who works comfortably in AI-driven problem spaces and wants to apply strong software engineering skills to create LLM-backed products and platforms.

This is not a research role. While we work closely with research and science teams and often operate in greenfield spaces this position sits squarely in a product engineering organization. The focus is on designing building and operating reliable systems that ship real value to customers and internal users.

Engineers on this team may lean more toward platform foundations (core services APIs enablement) or toward AI application and evaluation work (LLM-powered features agentic workflows quality systems) depending on strengths and interests. What unites the role is a strong commitment to software engineering rigor stewardship and continuous learning.

Our team places a high value on experimentation and knowledge sharing. Engineers are encouraged to explore new AI tools and techniques to improve their own productivity and the quality of their work and to share what they learn with others.

What will you do

As a Staff AI Software Engineer you will:

• Design build and operate backend services in Python that power AI-driven products and shared capabilities.
• Build and maintain resilient service integrations across internal and external systems handling failure modes rate limits and interface changes.
• Own ambiguous end-to-end problems: from early design and architecture through implementation rollout and iteration in production.
• Develop and evolve LLM-backed features and agentic workflows used in production with a focus on reliability observability and real-world behavior.
• Contribute to core AI platforms and enablement systemsservices that your team uses directly and that other engineers can build on.
• Collaborate with product managers researchers and other engineers across teams to turn loosely defined AI use cases into concrete production-ready systems.
• Help shape evaluation and quality strategies for AI-powered features including building or extending evaluation harnesses benchmarks or feedback loops.
• Act as a technical leader for the work you ownmaking sound design decisions coordinating with stakeholders and contributing to design and code reviews.

What skills and experience should you bring

• A degree in Computer Science Software Engineering or a related field or equivalent practical experience.
• 8 years of experience building and shipping production backend software.
• Excellent modern Python engineering skills with the ability to work effectively in distributed asynchronous environments.
• Strong system design skills including the ability to write clear design docs and solution specifications that align stakeholders and drive sound architectural decisions.
• Demonstrated ability to shepherd work from concept through production in complex evolving environments.
• Proven experience designing and implementing integrations across multiple systems in production environments.
• Hands-on experience shipping and operating LLM- or generative-AIbacked features or services as part of larger production systems.
• Excellent communication skills and a collaborative approach in globally distributed teams.

Strong candidates typically bring experience in several of the following areas:

• Experience designing or operating core platforms internal services or developer enablement tooling.
• Experience with applied LLM systems and context engineering including agentic workflows retrieval-augmented generation or evaluation pipelines.
• Experience building and evolving service interfaces using REST GraphQL and/or gRPC with an understanding of tradeoffs around performance schema evolution and compatibility.
• Experience with stateless and stateful backend systems (e.g. relational or NoSQL databases caching streaming systems).
• Experience with modern AI engineering ecosystems such as Pydantic AI LLM tracing and observability systems evaluation pipelines or MCP.
• Familiarity with MLOps or AIOps concepts and tooling (e.g. MLflow Databricks model gateways).
• Experience with cloud infrastructure (AWS Azure GCP) including effective use of managed services and deployment tools (Docker Kubernetes Terraform ArgoCD).
• Background inor curiosity aboutapplying AI to cybersecurity or similarly complex real-world domains.

Why Us

You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry.

• Medical Vision Dental 401(k) Commuter Health and Dependent FSA
• Unlimited PTO
• Industry-leading gender-neutral parental leave
• Paid Company Holidays
• Paid Sick Time
• Employee stock purchase program
• Disability and life insurance
• Employee assistance program
• Gym membership reimbursement
• Cell phone reimbursement
• Numerous company-sponsored events including regular happy hours and team-building events

Required Experience:

Staff IC