The role involves designing and implementing domain-specific AI agents that combine LLMs with deterministic tooling for tasks like ADaM code generation
Job Summary
The role involves designing and implementing domain-specific AI agents that combine LLMs with deterministic tooling for tasks like ADaM code generation.
Candidates must establish robust evaluation frameworks including automated tests, conformance checks, and human-in-the-loop reviews to ensure regulatory compliance.
Close collaboration with statisticians and platform engineers is required to align agent behavior with real user needs and industry standards.
Matching Summary
The role involves designing and implementing domain-specific AI agents that combine LLMs with deterministic tooling for tasks like ADaM code generation.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Python programming skills
LLM prompt engineering strategies
Retrieval-augmented generation pipelines
Generative AI evaluation frameworks
Code generation and validation tools
MLOps and model versioning practices
Nice-to-have
Experience in regulated GxP environments
Knowledge of statistical programming standards
Familiarity with vector databases and embeddings
Understanding of audit-ready documentation
Collaboration with cross-functional teams
Key Requirements
Master's degree in Computer Science or related field
3–5 years experience building AI/ML applications
Production-grade system development with large language models