Build AI systems that power a scientific discovery platform for our federal client.
Develop conversational interfaces that allow users to access complex, multi-domain scientific datasets using natural language.
Design AI agents that automate experimental data processing at scale.
Implement retrieval‑augmented generation (RAG) architectures to transform decades of scientific research into actionable intelligence.
Collaborate with stakeholders to solve one of the client’s 26 “lighthouse challenges” requiring faster, smarter decision-making.
Work across technologies such as AWS Bedrock, Databricks, vector databases, and advanced prompt‑engineering techniques.
Build agent frameworks supporting scientific discovery in areas like subsurface geology, supply chain intelligence, and materials science.

Requirements

US Citizen or Dual citizen (Public Trust eligible)
5+ years of relevant professional experience.
Deep technical expertise in large language models (LLMs).
Strong hands-on experience building and implementing RAG systems.
Ability to work within fast-paced, cross-functional teams.
Readiness to dive deep into advanced AI platforms and architectures.

Benefits

You can find more information on benefits here.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

large language modelsretrieval-augmented generationAI systems developmentconversational interfacesdata processing automationadvanced prompt-engineeringagent frameworks

Soft Skills

collaborationproblem-solvingdecision-makingcross-functional teamwork

Certifications

Public Trust eligibility