AI Engineer

The work:

Key Responsibilities:

• 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.

Here is what you need:

• 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.

Preferred experience:

• Experience working with scientific datasets or domain areas such as geology, materials science, or supply chain intelligence.
• Familiarity with AWS Bedrock, Databricks, and vector database ecosystems.
• Background in designing AI-driven scientific or research workflows.
• Strong prompt-engineering or AI agent–development experience.