Staff AI Software Engineer

As a Senior AI Software Engineer you will build and maintain Python backend services that support AI-powered features and workflows. Using tools like FastAPI, you’ll design scalable, high-performing systems with a focus on reliability and real-world use. You’ll own projects end-to-end, from design through deployment, delivering solutions for both customers and internal teams.

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 systems—services 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 own—making 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-AI–backed 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 in—or curiosity about—applying 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