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FivetranPosted 1 month ago

Staff R&D Software Engineer, Fivetran AI

$183,711–$229,639 year

HybridDenver, Colorado, United States

Full TimeSenior LevelMediumTECH

Job Summary

Research emerging AI retrieval and reasoning techniques, evaluate their roadmap value, and prototype viable concepts into production features. Define technical direction across multiple teams for Agents Schema and Context Builder, ensuring architecture consistency while building back-end, front-end, and SRE systems. Drive AISQL capabilities and hands-on QA to maintain reliability, utilizing coding agents to automate repetitive tasks. Mentor engineers and shape hiring processes within a startup-like environment.

Required Qualifications

  • 8+ years of programming experience across Python and/or Java
  • ability to move fluidly between back-end and front-end work
  • Considered a trusted expert beyond your own team, able to exert influence and define technical direction across multiple teams
  • Comfortable reading AI/ML research and turning promising findings into working prototypes, then production systems
  • Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype
  • Track record of taking ambiguous, high-level direction and independently defining and executing the concrete work to deliver it
  • Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar)
  • Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team's needs demand
  • Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements
  • Experience using coding agents or similar AI tooling to speed up day-to-day engineering work
  • Demonstrated ability to mentor other engineers and influence technical decisions beyond the immediate team
  • Thrives in a startup-like environment with shifting priorities and a high degree of ownership
  • This is a full-time hybrid position based out of our Denver, CO office
  • Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team

Desired Qualifications

  • Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks
  • Familiarity with semantic layers — dbt, LookML, Sigma, or similar
  • Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations
  • Background in site reliability engineering — monitoring, alerting, incident response
  • Experience in data processing (ETL, ELT) and/or building data connectors
  • Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker
  • Contributions to open source AI or data projects

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