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: Collaborate with global teams in a fast-paced, dynamic environment.
- Why this job: Make a real impact by implementing AI that drives business decisions.
- Qualifications: Hands-on experience with GenAI 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 AI Engineer (Remote) 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 on cutting-edge projects that directly impact business operations while enjoying a flexible remote working environment. The company fosters a culture of continuous learning and offers unique advantages such as exposure to international teams and the chance to contribute to sustainable energy solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI roles. Use platforms like LinkedIn to connect and engage with them. You never know who might have the inside scoop on job openings or can refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your hands-on experience with GenAI and agentic AI solutions. Include projects that demonstrate your ability to design, build, and deploy production-grade systems. This will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and real-world applications of AI. Be ready to discuss specific projects where you've implemented AI solutions that support business operations. This is your chance to shine and show how you can add value!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s get you that dream job!
We think you need these skills to ace Senior AI Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your hands-on experience with GenAI and agentic AI solutions. We want to see how you've designed, built, and deployed these systems in real-world environments, so don’t hold back on the details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific projects where you've engaged with trading and commercial stakeholders to develop practical AI solutions.
Showcase Your Technical Skills:We’re looking for strong Python engineering capabilities and experience with AI orchestration and evaluation. Make sure to list relevant tools and frameworks you’ve worked with, as well as any cloud-native or containerised environments you’re familiar with.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
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 and agentic AI systems. Be ready to discuss specific projects where you've designed, built, and deployed production-grade solutions. The interviewers will want to hear about real-world applications, so have those examples at the forefront of your mind.
✨Speak Their Language
Familiarise yourself with the energy sector, especially in trading and shipping. Understand the key challenges and how AI can address them. This will help you connect with the stakeholders during the interview and show that you can translate their requirements into practical AI solutions.
✨Showcase Your Integration Skills
Be prepared to talk about your experience with building APIs, integrations, and scalable data pipelines. Highlight any work you've done in cloud-native or containerised environments, as this is crucial for the role. Bring examples of how you've integrated AI services with enterprise systems to the table.
✨Demonstrate Your Delivery Focus
This role is all about delivering results in a fast-paced environment. Share instances where you've supported rapid prototyping and iterative delivery of AI functionality. Emphasise your ability to engage with business stakeholders and your commercial awareness, as these are key to succeeding in this position.
