Senior Engineer

Canopius; Manchester; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working

Discretionary bonus

Health insurance

Job summary

Canopius seeks a Senior Engineer to lead the design, development, and optimisation of intelligent AI systems powering next-generation applications in a hybrid, London-based setting with Manchester offices. You will architect scalable AI solutions, integrate vector/graph data stores, and drive end-to-end model lifecycles across tools and environments.

You will collaborate with cross-functional teams to align AI capabilities with business goals, mentor junior engineers, and build cloud-native,

Qualifications

• Proven Python framework experience (FastAPI) for API development.
• Experience with vector/graph databases and RAG architectures.
• Hands-on with multi-agent orchestration frameworks.
• Solid understanding of LLMs, embeddings, and prompt engineering.

Responsibilities

• Architect and optimize AI-driven systems for scalability and performance.
• Develop agentic reasoning workflows using frameworks like LangChain or LlamaIndex.
• Lead the full AI lifecycle: data ingestion, embeddings, extraction, synthesis, prompt engineering, and orchestration.
• Deploy, monitor, and maintain models in Docker-based, containerized environments.

Skills

Python

FastAPI

Celery

PostgreSQL

Vector/Graph Databases

LangChain

LlamaIndex

LLMs & Embeddings

Prompt Engineering

Docker

Tools

Docker

LangChain

LlamaIndex

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 will include:

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, containerized environments.

Collaborate with cross-functional teams to align AI capabilities with business goals.

Contribute to internal knowledge sharing and mentor junior engineers.

Skills and experience:

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 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) – integrating external tools to enhance generation capabilities.

CAG (Context-Aware Generation) – leveraging dynamic context to improve relevance and coherence.

GraphRAG (Graph-Augmented Retrieval-Augmented Generation) – utilizing graph-based structures to enrich retrieval and reasoning.

This will include the 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.

About Us

Our 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.

About Canopius

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.

Based in incredible new offices in the heart of the City of London, Canopius operates a flexible, hybrid working model and is committed to providing an environment that challenges employees to be their best and where everyone's unique contributions are recognised, valued and respected.

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.

We make reasonable adjustments throughout the recruitment process and during employment. Please let us know if you require any information in an alternate format or any other reasonable adjustments.

Job Info

• Job Identification 497
• Job Category Information & Technology
• Posting Date 07/01/2026, 05:18 PM
• Job Schedule Full time
• Locations Level 5, Manchester, M2 3AB, GB (Hybrid)