At a Glance
- Tasks: Design and develop cutting-edge AI systems that make a real-world impact.
- Company: Join a forward-thinking organisation prioritising AI and engineering excellence.
- Benefits: Competitive salary, mentorship opportunities, and a focus on professional growth.
- Other info: Dynamic team environment with opportunities for leadership and career advancement.
- Why this job: Be at the forefront of AI innovation and shape the future of technology.
- Qualifications: Strong Python skills and experience with production-grade AI systems.
The predicted salary is between 80000 - 100000 £ per year.
We are partnering with an established organisation currently investing significantly in its AI and generative search capabilities. They are looking to appoint a Senior AI Engineer to play a key role in designing and delivering production-grade AI systems focused on accuracy, scalability, and real-world impact. This position sits within a growing AI function and will focus heavily on Retrieval-Augmented (RAG), agentic workflows, evaluation frameworks, and LLM optimisation.
Key Responsibilities
- Design and develop scalable RAG pipelines and generative AI workflows
- Build solutions using LangChain, LangGraph, and LlamaIndex
- Implement retrieval strategies including reranking, chunking, and retrieval fusion
- Develop agentic workflows with a focus on robustness and maintainability
- Contribute to experimentation, evaluation, and AI quality frameworks
- Support fine-tuning, instruction tuning, and model optimisation initiatives
- Mentor junior engineers and contribute to technical best practices
Key Requirements
- Strong Python engineering experience
- Commercial experience building production-grade AI/ML systems
- Hands-on experience with RAG architectures and LLM workflows
- Experience with LangChain, LangGraph, and/or Llama Index
- Understanding of evaluation methodologies for generative AI
- Experience working within scalable cloud environments (AWS)
- Ability to operate in a senior or technical leadership capacity
Desirable
- Graph-RAG experience
- Databricks exposure
- Experience deploying customer-facing AI systems
This is an excellent opportunity to join a forward-thinking organisation where AI is a genuine strategic priority and engineering quality is highly valued.
Senior AI Engineer in London employer: Energy Jobline CVL
Join a pioneering organisation in London that prioritises AI innovation and engineering excellence. As a Senior AI Engineer, you will thrive in a collaborative work culture that fosters creativity and professional growth, with ample opportunities to mentor junior engineers and lead impactful projects. Enjoy the benefits of working in a dynamic environment where your contributions directly influence the development of cutting-edge AI systems.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving RAG pipelines or LLM optimisation. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and AI concepts. Practice coding challenges and be ready to discuss your past projects in detail. Confidence in your knowledge will shine through!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with RAG architectures, LLM workflows, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Don't forget to mention specific technologies like LangChain and LangGraph that you've worked with.
Showcase Your Projects:If you've got any personal or professional projects related to AI, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they involve building scalable AI systems or innovative workflows.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our forward-thinking team at StudySmarter!
How to prepare for a job interview at Energy Jobline CVL
✨Know Your AI Stuff
Make sure you brush up on your knowledge of RAG architectures and LLM workflows. Be ready to discuss your hands-on experience with LangChain, LangGraph, and LlamaIndex. The more specific examples you can provide about your past projects, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in building production-grade AI systems. Think about specific retrieval strategies you've implemented, like reranking or chunking, and be ready to explain your thought process behind those decisions.
✨Demonstrate Leadership Potential
Since this role involves mentoring junior engineers, be prepared to share your experiences in a leadership capacity. Discuss how you've contributed to technical best practices and supported your team in achieving their goals.
✨Familiarise Yourself with Evaluation Methodologies
Understanding evaluation frameworks for generative AI is crucial. Brush up on the methodologies you've used in the past and be ready to discuss how you ensure the quality of AI systems. This will show that you’re not just about building systems but also about making them effective.
