Staff R&D Software Engineer building the governed context layer (Agents Schema and Context Builder) for trustworthy AI agents. Research AI techniques, prototype, ship full-stack production features, own reliability/SRE/QA, define technical direction across teams, and mentor others in a startup-like environment.
196k – 245k/yr
Hybrid8+ YOEML Engineering
About the role
What You’ll Do
Research emerging techniques in retrieval, reasoning, and agentic AI, decide what’s worth pursuing for the roadmap, and convince others.
Prototype new ideas quickly and turn proven ones into shipped, production-grade features.
Define technical direction spanning multiple teams, ensuring architecture decisions align across areas.
Build and maintain back-end and front-end systems for Fivetran AI, including Agents Schema pipelines and Context Catalog UI.
Drive the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed against the warehouse.
Own production reliability: on-call rotation, incident response, and SRE work.
Set the bar for testing and QA practices; perform hands-on QA when needed.
Use coding agents to automate repetitive tasks, freeing time for research and design.
Take high-level direction from product and leadership; independently define and execute concrete plans.
Mentor other engineers and raise the technical bar across the team.
Contribute to hiring by shaping and participating in the interview process.
Skills We’re Looking For
8+ years of programming experience across Python and/or Java, with ability to move between back-end and front-end.
Trusted expert beyond your team, able to influence and define technical direction across multiple teams.
Comfortable reading AI/ML research and turning findings into prototypes then production systems.
Strong product and market awareness to judge emerging techniques vs. hype.
Track record of taking ambiguous direction and independently defining/executing work.
Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar).
Willingness to work across full stack: research, backend, frontend, SRE, and QA.
Writes well-structured, performant code; can dive into unfamiliar codebases.
Experience using coding agents or AI tooling to accelerate engineering work.
Ability to mentor engineers and influence decisions beyond immediate team.
Thrives in startup-like environment with shifting priorities and high ownership.
Staff R&D Software Engineer building the governed context layer (Agents Schema and Context Builder) for trustworthy AI agents. Research AI techniques, prototype and ship production backend/frontend features, own reliability/SRE/QA, define technical direction across teams, and mentor others in a fast-moving startup-like environment.
196k – 245k/yrHybrid8+ YOEML Engineering
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