Principal Software Engineer (ai)

IDBS

Woking, United Kingdom
On-site
Design and productionize genai solutions
Retrieval augmented generation (rag)
Ai-ready data foundations
IDBS is seeking a Principal Software Engineer specializing in AI to lead the development of GenAI-enabled capabilities for bio-pharma organizations. The role involves hands-on technical leadership, collaboration with cross-functional teams, and the establishment of sustainable AI engineering practices

Job Summary

  • Lead the delivery of AI-enabled platform capabilities that accelerate insight and decision making across drug discovery, clinical development, and commercial operations.
  • Design and productionise scalable GenAI solutions using approaches such as retrieval augmented generation (RAG), MCP-style integrations, and selectively applied agentic patterns, balancing capability, cost, performance, and trust to deliver measurable value from proof‑of‑concept through early adoption and general release.
  • Establish engineering best practices for GenAI/LLM applications, including system design patterns, evaluation approaches, reliability, scalability, and maintainability standards across the AI engineering lifecycle.

Matching Summary

Match Score: 85

IDBS is seeking a Principal Software Engineer specializing in AI to lead the development of GenAI-enabled capabilities for bio-pharma organizations. The role involves hands-on technical leadership, collaboration with cross-functional teams, and the establishment of sustainable AI engineering practices.

Skills & Requirements

Must-have

  • Design and productionize GenAI solutions
  • Retrieval augmented generation (RAG)
  • AI-ready data foundations
  • Deploy AI systems into production
  • Versioning of prompts, models, and data

Nice-to-have

  • GenAI in life sciences/biopharma
  • Knowledge extraction and workflow automation
  • Cloud platforms like Databricks and AWS
  • AI engineering best practices and governance

Key Requirements

  • Designing, building, and operating LLM-powered capabilities
  • Developing AI-ready data foundations
  • Deploying AI systems into production environments
  • Establishing robust operational practices
  • Collaborating effectively with cross-functional partners

Work Rights

Not specified

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