Applied AI Research Engineer

The role

You will own the intelligence layer for AIDA's agents to make them correct and trustworthy. The work involves information retrieval, knowledge representation, and evaluation science.

What you will do

• Design and build grounding systems that connect agent reasoning to verified enterprise data sources
• Build and optimize retrieval pipelines for accuracy and latency
• Define data representation strategies that preserve semantic fidelity
• Create evaluation frameworks including automated benchmarks and human evaluation protocols
• Convert validated research findings into production systems
• Establish quality metrics and dashboards to track agent correctness
• Build feedback loops where user interaction data informs grounding improvements

Required qualifications

• 3+ years of experience in information retrieval, NLP, knowledge representation, or applied ML research
• Production experience building RAG, grounding, or retrieval systems
• Strong evaluation methodology including benchmark design and statistical analysis
• Comfort operating at the research/systems boundary
• Python fluency
• Experience with vector databases, embedding models, LLM APIs
• Track record of converting research insights into shipped production systems

Nice to have

• Experience with enterprise data systems (SQL engines, data catalogs, schema metadata)
• Familiarity with text-to-SQL or structured query generation
• Published research or open-source contributions in IR, NLP, or evaluation methodology
• Experience designing evaluation pipelines that run in CI/CD
• Familiarity with JVM-based systems

Benefits

• Competitive pay
• Attractive stock grants
• Flexible paid time off
• Equity packages (ISOs)

About the company

Starburst delivers enterprise intelligence at scale by giving organizations secure, governed access to all their data. It helps enterprises power AI and analytics without the cost and complexity of traditional data consolidation.