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Healx

AI-driven drug discovery for rare diseases

Software Engineer - Agentic Systems

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeCambridge, UK

About the Job

Requirements

  • At least 2 years of software engineering or machine learning engineering work experience.
  • Experience building and shipping production LLM-agentic systems that use tools and orchestrate reliable multi-step workflows.
  • Strong software engineering fundamentals, including writing clear, tested, maintainable Python code.
  • Fluency with model application programming interfaces, prompting, tool use, retrieval-augmented generation, model context protocol, agent frameworks, and evaluations.
  • Ability to work closely with non-engineers and understand scientists’ needs.

Responsibilities

  • Build and refine AI-agentic workflows on the internal framework to help drug discovery scientists generate testable therapeutic hypotheses to progress.
  • Translate discovery problems into agent designs, assessing where an agentic approach adds value and where it does not.
  • Integrate agents with the knowledge graph, proprietary methods, scientific literature, and other sources so they reason over relevant evidence.
  • Expand and maintain existing generative AI tools to keep pace with team needs and a fast-moving ecosystem.
  • Contribute to the evaluation of agentic workflows by helping shape evaluations, testing, and quality standards.
  • Write clear, maintainable, well-documented code that others on the team can build on.

Desired Qualifications

  • Experience in drug discovery, biology, or another life science domain.
  • Familiarity with knowledge graphs or reasoning over structured or heterogeneous data.
  • Experience building evaluation harnesses or testing strategies for large language model systems.
  • Ability to pick up unfamiliar domains quickly and become useful fast.
  • Interest in or experience with biotechnology or technology-enabled biology and its impact on patient outcomes.

About the Company

Healx

AI-driven drug discovery for rare diseases

Healx uses artificial intelligence to discover and repurpose drugs for rare diseases. Its AI platform analyzes biomedical data to identify existing medicines that could treat rare conditions and speeds up the research and development process through collaborations with patient groups, research institutions, and pharmaceutical companies. The company then licenses or milestones its discoveries to partners, sharing royalties based on successful therapies. Unlike firms that build candidates in-house, Healx focuses on partnerships and drug repurposing to expand its pipeline and reduce time and cost of bringing treatments to patients. The overall goal is to bring safe and effective therapies to people with rare diseases more quickly and efficiently.

Company size
51-200
Company stage
Series C
Total funding
$136.9M
Headquarters
Cambridge, United Kingdom
Founded
2014

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