At a Glance
- Tasks: Design and deploy cutting-edge AI solutions for a global energy organisation.
- Company: Join a major player in the energy sector with a focus on innovation.
- Benefits: Remote work, competitive pay, and opportunities for career growth.
- Other info: Fast-paced environment with potential for contract extension.
- Why this job: Make a real impact by developing AI that drives business decisions.
- Qualifications: Hands-on experience in AI engineering and strong Python skills required.
The predicted salary is between 70000 - 90000 £ per year.
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 2x Senior 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
Senior Python - AI Developer employer: RedCat Digital
Join a leading global energy organisation that prioritises innovation and collaboration in the rapidly evolving field of AI. With a strong focus on employee growth, you will have the opportunity to work alongside industry experts, contributing to impactful projects that drive business success. Enjoy a flexible remote working environment with occasional onsite collaboration in London, fostering a dynamic and inclusive work culture that values your contributions and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python - AI Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the energy and AI sectors. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio of your past projects, especially those involving GenAI and agentic AI solutions. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled real-world problems with AI. Practice explaining complex concepts in simple terms, as you'll need to engage with trading and commercial stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities that align perfectly with your skills. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Python - AI Developer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on experience with GenAI and agentic AI systems. We want to see how you've designed, built, and deployed production-grade solutions that align with the role's requirements.
Craft a Compelling Cover Letter:Use your cover letter to tell us about your journey in AI engineering. Share specific examples of projects where you’ve worked closely with stakeholders to deliver practical AI solutions, as this is key for us.
Showcase Your Technical Skills:Don’t forget to mention your strong Python capabilities and any experience with cloud-native environments. We’re looking for candidates who can demonstrate their technical prowess in 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 this exciting opportunity in the global energy sector.
How to prepare for a job interview at RedCat Digital
✨Know Your AI Stuff
Make sure you brush up on your hands-on experience with GenAI, LLMs, and agentic AI systems. Be ready to discuss specific projects where you've designed, built, and deployed these solutions in production environments. The more concrete examples you can provide, the better!
✨Speak Their Language
Familiarise yourself with the energy sector, especially in trading and shipping. Understand the business use cases for AI in this context, and be prepared to translate technical jargon into practical solutions that resonate with trading and commercial stakeholders.
✨Showcase Your Integration Skills
Highlight your experience with building APIs, integrations, and scalable data pipelines. Be ready to discuss how you've worked in cloud-native and containerised environments, as well as any orchestration and evaluation methodologies you've implemented in past projects.
✨Be Ready for Fast-Paced Questions
Since this role is in a fast-paced environment, expect questions that assess your ability to work under pressure. Prepare to share examples of how you've successfully delivered AI functionality in iterative cycles, and how you handle changing requirements while keeping stakeholders engaged.
