Senior AI Engineer Hybrid Full time Cambridge, England, United Kingdom 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. Joining Ignota Labs at this stage will give you the ability to have an outsized impact on our efforts to automate some of the knowledge work that goes into drug discovery and development. With each successfully rescued drug, you will have made a direct contribution to bringing medicines to patients who otherwise would not have had access to them. Requirements What Makes This Role Unique Applied: The tools you build will directly enable research that has a tangible path to patient impact. 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. Who You Are Mission-oriented: You want your engineering work to accelerate life-changing scientific research. 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 What We Offer - 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.

• Translate AI solution concepts and technical specifications into working, production-ready implementations • Support delivery from proof of concept (POC) through initial implementation and handover • Design, build, and deploy agentic systems and retrieval-augmented generation (RAG) workflows • Develop and deploy AI solutions across cloud environments, with a focus on GCP and familiarity with AWS and Azure • Apply strong software architecture principles in solution design and implementation • Implement solutions with awareness of security, governance, and data protection requirements • Collaborate with solution architects and stakeholders to refine technical requirements and delivery scope • Work independently from technical briefs with minimal supervision

• Build GenAI tools that help sellers find and connect with the right customers faster. • Develop AI-powered copilots that surface CRM insights and sales knowledge in real time. • Launch AI features that improve efficiency and personalization across the sales funnel. • Work hands-on across the stack: from model experimentation to app development and infrastructure. • Collaborate with top-tier engineers, data scientists, and sales operators in a fast-moving environment.

• Diagnose business problems before building solutions • Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration • Design, develop, and ship AI-powered solutions quickly • Improve organizational flow by building solutions that reduce bottlenecks • Integrate AI capabilities into existing systems and workflows • Partner closely with stakeholders across functions • Define and track success through business metrics and feedback loops