•        Design and build Python backend services and REST/Fast APIs, including event-driven pipelines that react to UI edits (re-validation, re-indexing, impact analysis).

•        Build a responsive React and TypeScript front end, following the client's existing UI standards.

•        Model and query graph data in Neo4j (Cypher), working with the knowledge graph architect on schema, constraints and performance.

•        Integrate LLM services through an approved, model-agnostic gateway: prompt orchestration, structured outputs, guardrails and evaluation hooks.

•        Implement SSO integration, role-based access (viewer, editor, steward, admin) and audit logging.

•        Write tests, set up CI/CD, and deploy to on-premises environments through the client's release process.

•        Work in a small cross-functional squad with data engineers, a KG architect and the client's governance stakeholders; demo regularly and turn feedback into working software.

Must have

•        6+ years of professional software engineering, with at least 3 years building full-stack production applications.

•        Strong Python backend skills (FastAPI, Django or Flask): API design, async processing, background jobs and workflow logic.

•        Strong React and TypeScript, including complex forms, data grids, file upload and state management.

•        Hands-on experience integrating LLMs into applications: prompt design, structured or JSON outputs, retrieval, and handling non-deterministic outputs safely.

•        Solid engineering practice: clean architecture, automated testing, code review, Git, CI/CD and containerisation (Docker; Kubernetes a plus).

•        Experience shipping software into regulated or enterprise environments with SSO, access control and audit requirements.

Nice to have

•        Neo4j or another graph database (Cypher, graph data modelling).

•        MCP servers, agent frameworks (LangGraph or similar) or tool-calling APIs.