Senior Engineer

Job Description We are seeking a highly motivated Senior Engineer to lead the design, development, and optimisation of intelligent systems that power our next-generation applications. This is an exciting opportunity to join a growing team, working in a flexible and innovative environment to deliver world-class AI solutions that drive business value. Responsibilities Architect and optimize AI-driven systems, ensuring scalability and performance.

Implement vector/graph database solutions and RAG techniques for information storage and retrieval. Develop agentic reasoning workflows using frameworks like LangChain or LlamaIndex. Lead the full AI lifecycle: data ingestion, embedding, extraction, synthesis, prompt engineering, and workflow orchestration.

Deploy, monitor, and maintain models in Docker-based, containerised environments. Collaborate with cross-functional teams to align AI capabilities with business goals. Contribute to internal knowledge sharing and mentor junior engineers.

Required Skills and Experience Proven expertise in utilizing Python-based frameworks such as FastAPI for API development, Celery for task management, and Postgres for database solutions. Experience with vector and graph databases, and RAG-based architectures. Experience with agentic frameworks and orchestration frameworks such as LangChain or LlamaIndex.

Solid understanding of LLMs, embeddings, and prompt engineering. Highly Desirable Experience designing multi-agent systems or autonomous workflows. Hands‑on experience with Docker and deploying containerised, cloud‑native tools.

Experience with advanced retrieval‑augmented generation techniques, including TAG (Tool‑Augmented Generation), CAG (Context‑Aware Generation), and GraphRAG (Graph‑Augmented Retrieval‑Augmented Generation). Competencies Stakeholder engagement: Works with cross‑functional teams to align AI‑driven systems and capabilities with business goals and ensure solutions deliver meaningful business value. Collaboration and teamwork: Collaborates within a growing engineering team, contributing to shared delivery of AI solutions and supporting others through knowledge sharing and mentoring of junior engineers.

Adapting to change: Operates in a flexible and innovative environment, adjusting approaches across the AI lifecycle as systems, tools, and requirements evolve. Continuous Improvement: Designs, optimises, monitors, and maintains AI‑driven systems to ensure ongoing performance, scalability, and reliability across deployed solutions. Innovation: Develops and implements advanced AI architectures, including agentic workflows, vector and graph databases, and retrieval‑augmented generation techniques to support next‑generation applications.

Resilience: Manages the end‑to‑end AI lifecycle, including deployment, monitoring, and maintenance of containerised models, maintaining stability and performance in production environments. Future Focused: Builds cloud‑native, scalable AI systems using modern frameworks and architectures to support the long‑term evolution of next‑generation applications. Benefits We offer all employees a comprehensive benefits package that focuses on their whole wellbeing.

This includes hybrid working, a competitive base salary, non‑contributory pension, discretionary bonus, insurances including health (family) and dental cover, and many other benefits to enhance financial, physical, social and psychological health. Equal Employment Opportunity We are fully committed to equal employment opportunities for all applicants and providing employees with a work environment free of discrimination and harassment. All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio‑economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate.

We encourage and welcome applicants from all diverse backgrounds. #J-18808-Ljbffr