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.
Requirements
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.
Tech Stack
Python
Benefits
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