Staff AI Tooling Developer
Jane App
What Impact We're Looking for You to Make
- Build Jane's AI platform infrastructure: Design and implement the foundational systems - knowledge graphs, context management, secure integrations - that enable teams to build and deploy AI agents confidently.
- Enable transformation, not just optimization: Partner with teams to identify opportunities where AI can fundamentally change how work gets done, not just make existing processes 10% faster. We're aiming for 10x improvements through reimagining workflows entirely.
- Connect and orchestrate: Integrate core systems (HubSpot, Helpscout/Intercom, HRIS, Looker/Snowflake, GitHub, Jira, Slack) into a coherent platform where context flows securely to the agents and people who need it.
- Shape our approach: We're still making foundational platform decisions. You'll have real input into the tools, patterns, and standards that define how AI works at Jane for years to come.
- Build a culture of builders: Create documentation, patterns, and examples that help non-engineers across Jane become confident AI builders. Your success is measured partly by how many people you enable.
What Experience We're Looking For
- 10+ years of software engineering experience, with meaningful exposure to AI/ML systems, LLM integration, or agent-based architectures.
- You provide technical leadership and are able to remove friction and amplify the impact of the people around you.
- Strong backend engineering skills (Python, TypeScript, or Go). You write clean, maintainable systems that others can build on.
- Experience with context engineering patterns: RAG architectures, knowledge graphs, embedding systems, or similar approaches to giving AI systems the right information at the right time.
- Familiarity with agent frameworks, orchestration platforms, or workflow automation systems. You understand how to build AI that takes action, not just generates text.
- A strong security and compliance instinct. Ideally you've built systems in regulated environments (healthcare, finance, or similar). You think about data flows, access controls, and audit trails as core design concerns.
- Comfort with ambiguity and emerging technology. The AI landscape shifts fast; you stay curious, experiment thoughtfully, and adapt.
- Clear communication skills. You can explain AI capabilities and limitations to non-technical teammates and build trust through transparency.
