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For Companies At a Glance
- 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 work options, and opportunities for professional growth.
- Why this job: Make a real impact by translating research into scalable AI solutions.
- Qualifications: Strong experience with LLMs, Python coding, and AI system development.
- Other info: Collaborative environment with a focus on innovation and career advancement.
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 employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your generative AI projects. We recommend including code snippets, demos, or even blog posts explaining your thought process. This will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of frontier LLMs and agentic workflows. We suggest doing mock interviews with friends or using online platforms to get comfortable discussing your experience.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. We believe it shows your enthusiasm and professionalism, making you memorable to hiring managers.
We think you need these skills to ace Generative AI Engineer
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, we want to hear all about it—so include those details!
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’s super easy—just follow the prompts!
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, especially those involving agentic workflows and prompt engineering. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Coding Skills
Since production-level coding experience is a must, 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 keep your skills sharp.
✨Prepare for Real-World Scenarios
Think about how you've built, scaled, or operated AI systems in real-world environments. Be ready to share examples of challenges you faced and how you overcame them. This will highlight your ability to translate research into production-ready solutions.
✨Collaborate and Communicate
This role involves working closely with engineers, product teams, and AI leadership. Prepare to discuss how you've collaborated in the past, focusing on your communication style and how you contribute to shared technical direction. Highlighting your teamwork skills can set you apart from other candidates.
