Connecticut Innovations is Connecticut’s strategic venture capital arm, passionate about serving its portfolio of companies. They are seeking a Senior Software Engineer to build AI-native infrastructure for life science R&D, focusing on developing production-grade lab software and improving engineering standards.
Responsibilities:
- Design and ship end-to-end features across our Node/React stack and AI agent layer
- Take ownership of meaty problems — LIMS data models, agent tool execution, multi-tenant infrastructure — and see them through to production
- Raise the engineering bar: testing patterns, code review, on-call quality
- Work directly with customers and founders to turn fuzzy problems into shippable software
Requirements:
- 7+ years building and operating production software; comfort across the stack
- You lead, collaborate, and consistently deliver compelling and innovative solutions
- Strong backend foundations (Node, MongoDB or similar, AWS) and willingness to own UI work too
- You orchestrate AI agents to produce code that other engineers — and other agents — can easily work with; you debug things others would give up on
- Experience shipping AI / LLM-powered features in production is a strong plus
- Bonus: prior work in lab software, scientific data, or bioinformatics