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- Tasks: Design and develop cutting-edge generative AI systems for a transformative AI platform.
- Company: Join a leading organisation at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by translating research into scalable AI solutions.
- Qualifications: Experience with generative AI, coding skills in Python, and a passion for innovation.
- Other info: Collaborative environment with exciting challenges and career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
We are recruiting a Senior Generative AI Engineer on behalf of a leading organisation undertaking a multi-year AI transformation. This role focuses on the hands-on design and development of generative AI systems, contributing to an internal AI platform built on enterprise GPT, frontier models, and agentic workflows. You will work close to production systems, translating research and experimentation into reliable, scalable AI capabilities used across the business.
Key Responsibilities
- Design and build generative AI solutions using frontier LLMs and enterprise GPT platforms
- Develop agentic workflows, custom GPTs, and reusable prompt libraries
- Contribute to the evolution of an internal AI platform and tooling
- Evaluate and benchmark frontier and specialised models for different use cases
- Translate research concepts into production-ready AI systems
- Implement quality standards, testing, and evaluation for AI outputs
- Collaborate closely with engineers, product teams, and AI leadership
Requirements
- Strong hands-on experience with frontier LLMs and generative AI systems
- Deep understanding of agentic workflows, prompt engineering, and model behaviour
- Production-level coding experience (Python and/or similar)
- Experience building, scaling, or operating AI systems in real-world environments
- Ability to work autonomously while contributing to shared technical direction
Nice to Have
- Experience contributing to internal or proprietary AI platforms
- Exposure to regulated, security-conscious, or complex enterprise environments
- Familiarity with evaluation frameworks, guardrails, or AI observability
Generative AI Engineer in London employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, attend meetups, and join online forums. The more connections we make, the better our chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your generative AI projects. We can use platforms like GitHub to share our code and demonstrate our hands-on experience with frontier LLMs.
✨Tip Number 3
Prepare for those interviews! Brush up on common questions related to generative AI and agentic workflows. We should also be ready to discuss our past experiences and how they relate to the job.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our applications to highlight our relevant skills and experiences directly.
We think you need these skills to ace Generative AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with generative AI systems and frontier LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative AI and how your background makes you a perfect fit for our team. Let us know what excites you about the role and the company.
Showcase Your Technical Skills: Since this role involves production-level coding, make sure to mention your experience with Python or similar languages. If you've built or scaled AI systems before, share those experiences with us – we love seeing real-world applications!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture!
How to prepare for a job interview at Harrington Starr
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of frontier LLMs and generative AI systems. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your hands-on experience and deep understanding of the field.
✨Showcase Your Coding Skills
Since production-level coding experience is crucial, be prepared to demonstrate your Python skills or any similar languages. You might be asked to solve a coding problem on the spot, so practice common algorithms and data structures beforehand to feel confident.
✨Understand Agentic Workflows and Prompt Engineering
Familiarise yourself with agentic workflows and prompt engineering techniques. Be ready to explain how you've designed custom GPTs or reusable prompt libraries in past roles. This will highlight your ability to translate research into practical applications.
✨Prepare for Collaboration Questions
Collaboration is key in this role, so think about examples where you've worked closely with engineers, product teams, or leadership. Prepare to discuss how you contributed to shared technical direction and how you handle feedback and differing opinions.