• Build and maintain backend services using FastAPI, Python, and async patterns. • Design and improve LLM-driven pipeline steps for classification, matching, risk assessment, synthesis, and draft generation. • Implement robust structured-output validation, retries, and error handling for model calls. • Optimize semantic search using PostgreSQL and pgvector for high-quality legal precedent retrieval. • Extend data models and Alembic migrations with backward-compatible schema changes. • Build and enhance frontend workflows in React and TypeScript (dashboard, document browser, extraction review, defense generation). • Integrate real-time progress updates via WebSockets. • Maintain secure authentication and authorization with Keycloak, OIDC, and JWT. • Add tests for backend and frontend features and support CI quality gates. • Improve observability with tracing, structured logging, and operational dashboards.

• Build and maintain backend services using Java 21, Spring Boot, and asynchronous processing patterns. • Design and enhance LLM-based pipeline stages for classification, matching, risk assessment, summarization, and draft generation. • Implement robust structured output validation, retry mechanisms, and error handling for model interactions. • Optimize semantic search using PostgreSQL and pgvector to enable high-quality retrieval of legal precedents. • Extend data models and database migrations with backward-compatible schema changes. • Build and enhance frontend workflows using React and TypeScript, including dashboards, document browsers, extraction review interfaces, and defense generation features. • Integrate real-time progress updates through WebSockets. • Maintain secure authentication and authorization using Keycloak, OIDC, and JWT. • Develop and maintain backend and frontend test coverage while supporting CI quality gates. • Improve observability through distributed tracing, structured logging, and operational dashboards.

• Leading the design and implementation of complex product features and client solutions; • Working directly with clients to understand business requirements, propose technical solutions, and drive delivery; • Developing and maintaining scalable back-end systems using Python; • Making architectural decisions and ensuring high standards of code quality, performance, and maintainability; • Identifying bottlenecks, risks, and opportunities for process and system improvements; • Designing and optimizing data processing workflows, including complex SQL-based data manipulation and orchestration; • Integrating external data sources, APIs, and best-in-class third-party technologies; • Driving engineering best practices, including testing, code reviews, CI/CD, and observability; • Mentoring team members and contributing to the overall technical growth of the team; • Taking ownership of projects throughout the entire lifecycle, from discovery and design to production release and support.

• Design, implement, and optimise the high-performance, real-time video analytics pipeline • Own performance, reliability, and observability across the pipeline — from custom GStreamer plugins through to edge-to-cloud delivery.