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- 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.
- Why this job: Make an impact in AI while collaborating with innovative teams.
- Qualifications: Expertise in Python frameworks and AI-driven systems required.
- Other info: Flexible environment with opportunities for growth and mentorship.
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
Contact Detail:
Canopius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI-driven systems or frameworks like LangChain. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python frameworks and AI architectures. Practise explaining your past projects and how they align with the role you're applying for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Engineer in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI-driven systems and the specific skills mentioned in the job description. We want to see how your background aligns with our needs!
Showcase Your Projects: Include examples of your previous work, especially any projects involving Python frameworks, vector databases, or agentic workflows. This gives us a clear picture of your hands-on experience and problem-solving skills.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's relevant to the role. Make it easy for us to see your qualifications!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Canopius
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Python frameworks mentioned in the job description, like FastAPI and Celery. Brush up on your knowledge of vector and graph databases, as well as RAG techniques, so you can confidently discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've architected and optimised AI-driven systems. Think about challenges you've faced and how you overcame them, especially in relation to scalability and performance. This will demonstrate your hands-on experience and critical thinking.
✨Collaboration is Key
Since the role involves working with cross-functional teams, be ready to talk about your experiences collaborating with others. Highlight any mentoring you've done or how you've contributed to team success, as this aligns with their emphasis on teamwork and knowledge sharing.
✨Stay Future-Focused
Discuss your vision for the future of AI systems and how you can contribute to building scalable, cloud-native solutions. Mention any innovative ideas you have for enhancing AI architectures or workflows, showing that you're not just reactive but proactive in your approach.
