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- Tasks: Lead the development of innovative AI systems for the insurance industry.
- Company: Join a pioneering AI-powered platform transforming global insurance.
- Benefits: Competitive salary, equity options, and a £5,000 annual training budget.
- Other info: Dynamic role with opportunities for significant impact and career growth.
- Why this job: Shape the future of AI in insurance and mentor the next generation of leaders.
- Qualifications: Experience with LLM systems, strong Python skills, and excellent communication.
The predicted salary is between 130000 - 160000 £ per year.
Ready to start something new? Join a leading AI-powered pricing and underwriting platform for commercial insurers, helping transform how risk is understood, priced, and managed across the global insurance ecosystem. The organisation supports insurers, reinsurers, and MGAs in making faster, more confident decisions across pricing, rating, and portfolio optimisation, backed by strong actuarial expertise and advanced engineering. Its platform enables rapid model development and deployment with enterprise-grade security, auditability, and transparency, driven by a culture focused on intelligence-led decision-making, ownership, and continuous innovation.
This is a high-impact leadership mandate for a seasoned engineer to join a global leader in next-generation mathematical modelling. As a "Staff" level hire, you will be a vital senior leader within the business, building agentic AI systems that have literally never been developed before in this sector. Join the only company in the world doing what they do; you won’t just be implementing AI, you will be defining how a whole industry uses it. This is a chance for you to move beyond "wrappers" and prototypes. This role is about shipping and running complex agent stacks that deliver real-world reliability and accuracy. Take ownership of the AI roadmap, balancing high-risk R&D with structured delivery, while mentoring the next generation of AI technical leaders.
If you are interested in learning more about this opportunity, get in touch and apply today.
Responsibilities- Technical Delivery: Own end-to-end execution to improve agent success, latency, and reliability within the core platform.
- Risk Management: Lead an "explore/exploit" model, utilising technical spikes and kill criteria to effectively de-risk R&D initiatives.
- Strategic Partnership: Collaborate closely with Product and Research teams to validate complex use cases and steer the long-term AI roadmap.
- Engineering Velocity: Drive the Developer Experience (DevEx) roadmap and CI/CD infrastructure to accelerate AI deployment cycles.
- Talent Development: Actively mentor AI Engineers into technical leaders capable of owning and scaling complex agentic architectures.
- LLM Production: Proven experience shipping and running LLM-based systems in a production environment (not just internal prototypes).
- Python Expertise: Production-grade Python engineering skills—you must be comfortable writing robust, scalable code beyond simple scripting.
- Communication: Exceptional soft skills; as a senior leader, you must be able to articulate complex AI concepts to both technical and non-technical stakeholders.
- Problem Solving: A methodical approach to de-risking research and turning it into reliable software.
- Equity: Participation in a stock option scheme.
- Learning & Development: A significant £5,000 annual training budget to keep you at the forefront of AI.
- Wellbeing: Comprehensive private healthcare.
£130,000 – £160,000 (Based on experience)
Staff AI Engineer - Software Development employer: Hamilton Barnes Associates Limited
Contact Detail:
Hamilton Barnes Associates Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff AI Engineer - Software Development
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLM systems. This will give you an edge and demonstrate your hands-on experience when chatting with hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you've tackled complex challenges in past roles, especially around risk management and technical delivery. We want to see your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our innovative team and making a real impact in the AI space.
We think you need these skills to ace Staff AI Engineer - Software Development
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how you’ve engaged with AI technologies in the past and how you envision using them in this role. Make it personal and relatable!
Highlight Relevant Experience: Be sure to showcase your experience with LLM-based systems and Python engineering. We’re looking for solid examples of your work that demonstrate your ability to deliver production-grade solutions. Don’t hold back on the details!
Communicate Clearly: As a senior leader, your ability to communicate complex ideas is crucial. Use clear and concise language in your application to show us you can articulate technical concepts to both techies and non-techies alike. It’s all about making those connections!
Tailor Your Application: Make sure your application speaks directly to the job description. We love seeing candidates who take the time to align their skills and experiences with what we’re looking for. It shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Hamilton Barnes Associates Limited
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLM-based systems and Python engineering. Be ready to discuss your past experiences in shipping and running these systems in production. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in the past. Think about instances where you had to de-risk R&D initiatives and how you approached those challenges. This role is all about reliability, so demonstrating your methodical approach will impress.
✨Communicate Like a Pro
As a senior leader, you'll need to articulate complex AI concepts clearly. Practice explaining your work to someone without a technical background. This will help you convey your ideas effectively during the interview, showing that you can bridge the gap between tech and non-tech stakeholders.
✨Emphasise Mentorship Experience
Since this role involves mentoring the next generation of AI engineers, be prepared to discuss your experience in developing talent. Share specific examples of how you've guided others and helped them grow into technical leaders. This shows you're not just a great engineer but also a great leader.