REQUIREMENTS

• 7+ years of experience building resilient, performant, and scalable backend systems for user-facing or B2B products
• Expertise in Python or similar and distributed systems
• Strong database design skills (MongoDB or similar)
• Proven experience integrating with third-party APIs at scale
• Proficiency with cloud platforms (preferably GCP), observability tools, and CI/CD workflows
• Excellent communication and leadership-influence skills
• Must be able to work in our Seattle office 2–3 days per week (hybrid model)

YOUR ROLE:

You’ll take deep technical ownership of the backend systems that power our AI Discovery platform, working at the bleeding edge of evaluating and applying LLMs to real-world problems. This includes designing distributed systems, optimizing AI integrations, and making architectural decisions that help us scale quickly and reliably. You’ll also help elevate the team by mentoring junior engineers and guiding best practices, architecture choices, and technical problem-solving.

RESPONSIBILITIES

• Architect, build, and maintain scalable backend infrastructure in Python
• Design resilient APIs, optimize data pipelines, and ensure system reliability
• Help integrate and test data from third-party APIs, including LLM providers like OpenAI and Anthropic
• Debug and troubleshoot issues across the stack to ensure reliability and performance
• Integrate with major AI APIs, managing performance, cost, and observability
• Influence long-term technical direction and backend architecture
• Mentor junior and mid-level engineers through code reviews and coaching
• Collaborate across the stack to ship product features quickly and reliably