Senior Staff Applied Ai Engineer - Context Retrieval

Databricks Lakehouse

Mountain View, California, US
Not specified; eligible for annual performance bon...
On-site
10+ years software engineering experience
Deep information retrieval expertise
Production rag system development
This zero-to-one role focuses on building the foundational retrieval stack and search subagents that power Databricks agents

Job Summary

  • This zero-to-one role focuses on building the foundational retrieval stack and search subagents that power Databricks agents.
  • The engineer will own the end-to-end system including query understanding, hybrid retrieval, ranking, and evaluation across structured and unstructured data.
  • Candidates must demonstrate a track record of building retrieval systems from scratch while operating as a technical leader to set multi-year roadmaps.

Matching Summary

This zero-to-one role focuses on building the foundational retrieval stack and search subagents that power Databricks agents.

Salary

Not specified; Eligible for annual performance bonus; Equity included

Skills & Requirements

Must-have

  • 10+ years software engineering experience
  • Deep Information Retrieval expertise
  • Production RAG system development
  • Agentic systems design
  • Structured and unstructured data indexing

Nice-to-have

  • Enterprise SaaS source experience
  • Open-source IR project contributions
  • Embedding model fine-tuning
  • Multi-turn retrieval workflows
  • Publications at SIGIR or KDD

Key Requirements

  • 10+ years of software engineering experience
  • Significant time building production retrieval systems
  • Experience with LLM-era retrieval architectures
  • Proven ability to build 0→1 systems
  • Demonstrated technical leadership capabilities

Work Rights

Not specified

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