Senior Engineer

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.

• 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 Lang Chain or Llama Index.
• Lead the full AI lifecycle: data ingestion, embedding, extraction, synthesis, prompt engineering, and workflow orchestration.
• Deploy, monitor, and maintain models in Docker‑based, containerized environments.
• Collaborate with cross‑functional teams to align AI capabilities with business goals.
• Contribute to internal knowledge sharing and mentor junior engineers.

Required:

• 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 of with agentic frameworks and orchestration frameworks such as Lang Chain or Llama Index.
• Solid understanding of LLMs, embeddings, and prompt engineering.

• 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) – integrating external tools to enhance generation capabilities.
• CAG (Context‑Aware Generation) – leveraging dynamic context to improve relevance and coherence.
• Graph
  
  RAG (Graph‑Augmented Retrieval‑Augmented Generation) – utilizing graph‑based structures to enrich retrieval and reasoning.

• 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.

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.

Canopius is a global specialty lines (re) insurer. We are one of the leading insurers in the Lloyd’s of London insurance market with offices in the UK, US, Singapore, Australia and Bermuda.

At Canopius we foster a distinctive, positive culture which enables us to bring our whole selves to work to flourish as people, and build a business which delivers profitable, sustainable results.

Canopius operates a flexible, hybrid working model and is committed to providing an environment that challenges employees to be their best and where…