At a Glance
- Tasks: Lead the design and optimisation of AI systems for next-gen applications.
- Company: Join Canopius, a leading global insurer with a positive culture.
- Benefits: Enjoy hybrid working, competitive salary, health cover, and more.
- Other info: Flexible environment with opportunities for growth and mentorship.
- Why this job: Make an impact in AI while collaborating with innovative teams.
- Qualifications: Expertise in Python frameworks and AI-driven systems required.
The predicted salary is between 36000 - 60000 £ per year.
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, containerized 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) – 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.
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 and About Us
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. 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.
Senior Engineer in Manchester employer: Canopius
Canopius is an excellent employer that fosters a collaborative and innovative work culture, where data governance plays a crucial role in driving the organisation's success. Employees benefit from ongoing professional development opportunities and a supportive environment that encourages growth and learning, particularly in the dynamic insurance sector. Located in a vibrant area, Canopius offers unique advantages such as flexible working arrangements and a commitment to employee well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer in Manchester
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Canopius or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Canopius.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Canopius.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Canopius that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Engineer in Manchester
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Canopius.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Canopius and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Canopius
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Canopius uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.