Senior Software Engineer - Hummingbird

About Hummingbird

Hummingbird is a remote-first, fully distributed team united by the shared mission of helping fight financial crime. Since launching in 2017, we’ve helped major financial institutions and tech-savvy trailblazers (e.g. Plaid, Raymond James, Crypto.com) orchestrate their compliance programs through intuitive, AI-powered compliance tools.

About the Role

As a Senior Software Engineer on the Cortex Team, you’ll play a key role in driving AI at Hummingbird. You’ll design and deliver customer-facing AI features that make complex work more intuitive and efficient, and iterate on existing features, like our context-aware AI Assistant and Review Agent.

In this role, you’ll collaborate closely with Product, Design, and other engineers to bring ideas to life—from prototyping to production. You’ll balance thoughtful model and tool selection with sound engineering principles, ensuring our systems are scalable, secure, and auditable.

What You'll Do

• Build AI features end-to-end: Design, implement, and ship features that bring great user experiences to life—with a strong focus on measurement, observability, and real-world performance.
• Scale for impact: Architect and deliver systems that handle high data volumes and complex workflows with reliability and speed.
• Enhance trust and transparency: Improve grounding quality with permission-safe retrieval, citations, and evaluations that make AI outputs auditable and dependable.
• Optimize for experience: Drive latency and cost improvements where they matter most—creating fast, seamless interactions for users.
• Shape product and strategy: Collaborate closely with Product and Design from discovery through iteration, helping define what AI can do for customers.

What We're Looking For

• Track Record: Proven experience shipping 0-1 products to real users (ideally AI products).
• Safety & Quality: Deep care for quality, testing, and security as foundations of scalable systems.
• Curiosity & Creativity: Passion for learning new technologies, exploring unfamiliar domains, and turning complex ideas into elegant solutions.
• Purpose-Driven: Motivation to use technical skills to build meaningful AI tools that make global financial systems safer.
• Strong Fundamentals: Solid backend experience, data fluency, and operational maturity.
• Iterative Mindset: Enthusiasm for refining ideas, incorporating feedback, and collaborative problem-solving.
• Product Intuition: Ability to think beyond code, partnering effectively with Product and Design.

Bonus Points

• Experience with vector databases (OpenSearch, etc.), Snowflake, or evaluation frameworks like Langfuse.
• Familiarity with fintech and compliance domains.

Technologies We Use & Teach

• Cloud & Infrastructure: AWS, Azure, PostgreSQL, Redis, Terraform, CircleCI, Nix, Docker
• Backend: Ruby/Rails, Python
• AI & Data: OpenAI, OpenSearch, Snowflake
• Frontend: React, JavaScript, TypeScript, GraphQL, d3