At a Glance
- Tasks: Lead the design and deployment of cutting-edge GenAI solutions in a dynamic energy sector.
- Company: Join a major global energy organisation driving AI innovation.
- Benefits: Remote work flexibility, competitive pay, and potential for contract extension.
- Other info: Collaborate with global teams and thrive in a fast-paced environment.
- Why this job: Make a real impact by implementing AI solutions that enhance business operations.
- Qualifications: Hands-on experience with GenAI and strong Python skills required.
The predicted salary is between 80000 - 100000 £ per year.
Supply, Trading & Shipping (ST&S) – Global Energy Organisation
Contract Details
- Start: ASAP
- Initial Duration: 3 months (Extension likely)
- Location: UK Remote with occasional London onsite requirements
- Working Pattern: Must be comfortable overlapping with US time zones
Overview
We are supporting a major global energy organisation in scaling advanced AI capability across its Supply, Trading & Shipping (ST&S) business supporting teams across Europe and the US. We are looking for Lead AI Engineers with strong, hands-on experience designing, building, and deploying production-grade GenAI and agentic AI solutions within enterprise environments. This is a delivery-focused engineering role, not a traditional data science or research-led position. The client is specifically seeking individuals who have successfully implemented real-world AI systems that support business operations and commercial decision-making. The successful candidates will work closely with trading and commercial stakeholders to develop practical AI-driven solutions within a fast-paced, iterative environment.
Key Responsibilities
- Design, build, and deploy production-grade GenAI / LLM / agentic AI solutions
- Develop scalable AI workflows and integrations aligned to business use cases
- Work directly with trading and commercial users to translate requirements into practical AI solutions
- Build and maintain AI orchestration, evaluation, and monitoring capabilities
- Integrate AI services with enterprise systems, APIs, and data pipelines
- Support rapid prototyping and iterative delivery of AI functionality
- Contribute to architecture, tooling, and engineering best practices across AI delivery
Required Experience
- Strong hands-on AI engineering experience focused on GenAI, LLMs, and agentic AI systems
- Proven experience deploying AI solutions into live production environments
- Deep practical understanding of modern AI tooling and frameworks
- Experience with agent frameworks, orchestration, evaluation methodologies, and AI workflow design
- Strong Python engineering capability
- Experience building APIs, integrations, and scalable data pipelines
- Comfortable working in cloud-native and containerised environments
- Strong stakeholder engagement and communication skills
- Comfortable operating in fast-paced, evolving delivery environments
Highly Desirable
- Experience within commodities, trading, front-office, or market-facing environments
- Energy or oil & gas industry exposure
- Experience supporting globally distributed teams across UK and US time zones
Important Context
The client has already screened a number of candidates with strong theoretical or traditional ML/data science backgrounds who lacked depth in production-grade GenAI delivery. This role requires candidates with genuine hands-on experience implementing enterprise AI systems in real-world environments. Candidates with primarily academic, experimental, or early-stage AI exposure are unlikely to be suitable.
Candidate Profile
The ideal candidate will be able to demonstrate:
- Production deployment of GenAI / LLM / agentic AI systems
- Strong engineering and integration capability
- Practical experience with AI orchestration and evaluation
- Ability to engage directly with business stakeholders
- Delivery-focused mindset with strong commercial awareness
Lead AI Engineer (GenAI / Agentic AI) in City of London employer: RedCat Digital
As a Lead AI Engineer at our global energy organisation, you will thrive in a dynamic and innovative work culture that prioritises collaboration and real-world impact. With the flexibility of remote work complemented by occasional onsite engagements in London, you will have the opportunity to develop cutting-edge AI solutions that drive business success while enjoying a supportive environment that fosters professional growth and development. Join us to be part of a forward-thinking team that values your expertise and encourages you to make meaningful contributions to the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer (GenAI / Agentic AI) in City of London
✨Tap into Online Data Science Communities
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We think you need these skills to ace Lead AI Engineer (GenAI / Agentic AI) in City of London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at RedCat Digital, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to RedCat Digital, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab RedCat Digital’s attention and show the tangible impact of your work.
How to prepare for a job interview at RedCat Digital
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at RedCat Digital.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at RedCat Digital.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at RedCat Digital.
