Hybrid Agentic AI Engineer for Rare-Disease Drug Discovery

Healx; Cambridge; Hybrid; GBP 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

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7% employer pension contributions

Life insurance 4x base salary

Private medical insurance

25 days annual leave

Zusammenfassung

Healx in Cambridge is seeking an Agentic AI Engineer to design and build LLM-agentic workflows that power our drug discovery platform. You’ll work with scientists to translate questions into agent designs and integrate them with our knowledge graph and literature sources.

You’ll join a cross-functional team of ML engineers, software engineers and bioinformaticians, contributing to production-ready tools and rigorous evaluation. Hybrid working and career growth supported.

Qualifikationen

• Built and shipped LLM-agentic systems delivering real value.
• At least 2 years of software or ML engineering experience using Python.
• Fluency with modern LLM/agent toolkits, prompting, and evals.
• Experience collaborating with scientists to understand needs.
• Biotech/drug-discovery experience is a bonus.

Aufgaben

• Build and refine AI-agentic workflows on our internal framework.
• Translate discovery problems into agent designs and assess value.
• Integrate agents with knowledge graph and literature to reason over evidence.
• Expand and maintain GenAI tools to pace evolving needs.
• Develop evaluation and quality standards for agentic workflows.
• Write clear, maintainable code.

Kenntnisse

LLM-agentic systems

Python

Software engineering

Machine Learning

Knowledge graphs

Biotech domain experience

Tools

AgentSpace

ADK

Jobbeschreibung

Healx in Cambridge is seeking an Agentic AI Engineer to design and build LLM-agentic workflows that power our drug discovery platform. You’ll work with scientists to translate questions into agent designs and integrate them with our knowledge graph and literature sources.

You’ll join a cross-functional team of ML engineers, software engineers and bioinformaticians, contributing to production-ready tools and rigorous evaluation. Hybrid working and career growth supported.