Research Engineer

Foundry AI Partners; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Foundry AI Partners is seeking an AI researcher to advance context engineering and retrieval strategies for production-ready agents. You will design and run experiments, publish findings, and collaborate with engineering to translate research into features.

The role emphasizes a strong publication history and expertise in NLP, information retrieval, and agent systems, with deep Python and ML framework proficiency in PyTorch/JAX.

Qualifications

• MS or PhD in Computer Science, ML, or related field (or equivalent experience).
• Strong publication record or demonstrable research contributions.
• Expertise in NLP, information retrieval, or agent systems.

Responsibilities

• Investigate novel approaches to context management and memory architectures
• Design and run experiments on agent consistency, hallucination reduction, and quality
• Prototype new retrieval strategies: semantic chunking, query rewriting, re-ranking
• Collaborate with engineering to transition research prototypes into production features
• Publish findings as research papers, blog posts, and open-source tools
• Stay current with academic literature and industry developments in AI/ML

Skills

NLP

Information retrieval

Publication track record

Python programming

ML frameworks (PyTorch, JAX)

Research-to-engineering balance

Communication skills

Education

MS or PhD in Computer Science, ML, or related field

Tools

Python

PyTorch

JAX

Job description

Push the boundaries of what's possible with AI agents. Conduct applied research on context engineering, retrieval strategies, and agent consistency—the\ tendency- for to turn findings into production systems.

Responsibilities

• Investigate novel approaches to context management and memory architectures
• Design and run experiments on agent consistency, hallucination reduction, and quality
• Prototype new retrieval strategies: semantic chunking, query rewriting, re-ranking
• Collaborate with engineering to transition research prototypes into production features
• Publish findings as research papers, blog posts, and open-source tools
• Stay current with academic literature and industry developments in AI/ML

Qualifications

• MS or PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
• Strong publication record or demonstrable research contributions
• Expertise in NLP, information retrieval, or agent systems
• Proficiency in Python and ML frameworks (PyTorch, JAX, etc.)
• Ability to balance research rigor with practical engineering constraints
• Excellent written and verbal communication skills

Nice to Have

• Experience with reinforcement learning or multi-agent systems
• Background in cognitive science, linguistics, or knowledge representation
• Familiarity with formal verification or program synthesis
• Track record of transitioning research into production systems
• Active presence in AI research communities (conferences, workshops, etc.)