Ai Engineer (biometrics And Data Science)

AstraZeneca

Python programming skills
Llm and nlp application development
Prompt engineering and rag techniques
The role focuses on designing and building AI agents that combine LLMs with deterministic tooling for specific departmental needs like ADaM code generation

Job Summary

  • The role focuses on designing and building AI agents that combine LLMs with deterministic tooling for specific departmental needs like ADaM code generation.
  • Candidates must establish robust evaluation frameworks including automated tests and human-in-the-loop reviews to ensure compliance and reliability.
  • Close collaboration with statisticians and platform engineers is required to align agent behavior with regulatory expectations and real user needs.

Matching Summary

The role focuses on designing and building AI agents that combine LLMs with deterministic tooling for specific departmental needs like ADaM code generation.

Skills & Requirements

Must-have

  • Python programming skills
  • LLM and NLP application development
  • Prompt engineering and RAG techniques
  • Evaluation framework design
  • Vector databases and embeddings
  • MLOps for generative AI

Nice-to-have

  • Experience with GxP and CSV regulations
  • Knowledge of statistical programming
  • Familiarity with SAP generation workflows
  • Model optimization and quantization
  • Collaboration in regulated environments

Key Requirements

  • Master's degree in Computer Science or related field
  • 3-5 years experience in AI/ML or NLP applications
  • Production-grade system experience with large language models
  • Experience integrating LLMs with code generation workflows

Work Rights

Not specified

Tailored Resume

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