Forward Deployed AI Engineer

As a Forward Deployed Engineer, you will work directly with end clients to take the platform from trial through to production deployment, acting as a technical partner throughout the journey. You will balance hands on engineering with customer facing problem solving, translating complex requirements into robust, scalable solutions. Key responsibilities include:

• Leading technical delivery for customer integrations, from scoping through to production rollout
• Working closely with end users ranging from highly technical teams to more non technical stakeholders
• Designing and building AI driven workflows, including LLM and retrieval augmented generation use cases
• Integrating knowledge graph data into customer environments using APIs, graph databases or analytical platforms
• Partnering with a solutions consultant who brings deep industry expertise, while you own technical feasibility and execution
• Feeding recurring customer needs back into the core product to support long term scalability

You will bring a strong engineering foundation and enjoy working close to customers in fast paced, ambiguous environments. Key requirements include:

• Strong commercial experience building and deploying AI or LLM powered systems into production
• Hands on experience designing, building and debugging LLM workflows, including familiarity with RAG approaches
• Experience working with modern data platforms and warehouses such as Snowflake or BigQuery
• Exposure to graph databases and knowledge graphs is highly desirable, (Neo4J)
• Comfort working in small teams or startup environments, with a proactive, delivery focused mindset
• Ability to communicate clearly with both technical and non technical stakeholders

They are a Series A funded AI startup building a platform that brings together vast, fragmented scientific data into an interactive knowledge graph. Their technology maps cause and effect relationships between diseases, proteins and drugs to accelerate drug discovery and research. With strong commercial traction and a growing client base across pharma, biotech and research organisations, they are scaling a small, highly collaborative team across engineering and solutions.