REQUIREMENTS:

• 2–6 years of professional experience in backend or full stack software engineering, building high-quality user-facing or B2B products
• Strong proficiency with modern backend languages (Python, Go, or similar)
• Experience designing scalable, high-performance data models and APIs
• Comfort working with distributed systems and cloud platforms (preferably GCP)
• Familiarity with integrating third-party APIs, especially high-throughput or real-time systems
• Excellent communication skills and a collaborative mindset
• Must be able to work in our Seattle office 2–3 days per week (hybrid model)

YOUR ROLE:

In this role, you’ll focus primarily on backend engineering — building the systems that power our AI Discovery platform. You’ll work at the bleeding edge of evaluating and applying LLMs to real-world problems, from designing resilient APIs to optimizing real-time AI integrations. You’ll collaborate across the stack to deliver features quickly and reliably, working side-by-side with other engineers, designers, and product managers.
This is a great role for someone who thrives on solving hard technical problems and wants to grow quickly in a high-ownership environment. You’ll ship meaningful features, learn from experienced teammates, and benefit from a strong mentorship culture that will help you level up fast. You’ll gain exposure to everything from system design to cloud infrastructure. If you’re excited about building in the AI space and want to move fast with a small, talented team, you’ll fit right in.

RESPONSIBILITIES:

• Build and maintain backend services in Python
• Design and optimize data pipelines, storage systems, and real-time AI integrations
• Help integrate and test data from third-party APIs, including LLM providers like OpenAI and Anthropic
• Collaborate with other engineers to deliver robust, user-facing features
• Debug and troubleshoot issues across the stack to ensure reliability and performance
• Participate in code reviews, standups, and sprint planning to support a high-velocity release cycle
• Contribute to team best practices, documentation, and internal tooling as we scale