Senior AI Engineer
Role details
Job location
Tech stack
Job description
As a Senior AI Engineer at Ignota Labs, you will design and build the agentic systems, LLM-powered tools, and cloud infrastructure that will help our scientists identify failed drugs and bring them safely to patients. Your systems will augment and assist human experts at all stages of our business, from identifying high-potential drug programmes to helping to validate new chemistry., Multi-disciplinary: You'll work closely with scientists, ML researchers, and engineers, gaining insight into the end-to-end drug discovery and development process. Dynamic: Ignota is a fast-paced, startup environment - every week will bring new challenges and opportunities to learn. Innovative: You'll work with state-of-the-art AI models and services, deploying them in creative ways to solve complex, real-world R&D problems.
What You'll Do
- Design the and build orchestration architecture for multi-modal drug redevelopment workflows.
- Collaborate with ML researchers to prototype and deploy experimental models into usable tools.
- Build automation and agentic systems to streamline literature review, data extraction, and target identification.
- Work with scientists to ensure tools are robust, reproducible, and easy to use.
- Continuously improve development, testing, and deployment processes.
Requirements
Do you have experience in Python?, Do you have a Master's degree?, Fast learner: You can quickly absorb new technologies, APIs, and scientific concepts. Collaborative: You work effectively with interdisciplinary teams, adapting your communication for technical and non-technical audiences. Curious & versatile: You enjoy working across domains and connecting ideas between them.
What You'll Bring A strong candidate will have most of the following attributes:
- Strong Python development experience, writing production-quality, maintainable code.
- Experience integrating and orchestrating AI/LLM services via APIs and related tooling.
- Experience with agent frameworks such as Pydantic AI, Langgraph, or Crew AI.
- Experience leading and managing technical teams.
- Experience running and evaluating agentic systems in production.
- Strong technical communication skills.
- Ability to rapidly prototype and iterate quickly based on feedback.
- Comfortable taking high-level research goals and turning them into working solutions.
- Familiarity with at least one cloud platform, ideally GCP.
Benefits & conditions
- A competitive salary (c. £70-90K depending on experience), performance-based bonus, pension, and equity in a high-growth startup.
- Opportunities for rapid career growth and progression as we scale.
- A collaborative, flexible, hybrid working environment. We have offices in Cambridge with remote options and tools to support seamless communication.
- Vitality health insurance, including mental health, dental, and optical care.
- The chance to bring potentially life-saving drugs back to patients - helping improve the lives of millions.