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- Tasks: Build cutting-edge AI solutions and evolve our internal AI platform.
- Company: Join Enablis, a forward-thinking AI-native consultancy in Leeds.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Be at the forefront of AI transformation and make a real impact.
- Qualifications: Strong software engineering skills and hands-on AI experience required.
The predicted salary is between 60000 - 80000 £ per year.
At Enablis, we deliver complex, high-impact technology transformation. We’re now building a genuinely AI-native consultancy — not just experimenting, but embedding AI into how we deliver, how we operate, and how we grow. We already have a live internal AI platform in development and a growing client pipeline. This hire is central to taking that capability to the next level.
This is a hands-on AI Engineering role. You’ll be the technical engine behind our AI capability, building production-grade AI solutions for both clients and internal use. You’ll work directly with our CTO and engineering leadership to extend and scale our internal AI platform while delivering cutting-edge AI solutions into real-world client environments.
What You’ll Be Doing:
- Owning and evolving our internal AI platform
- Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling
- Designing internal AI tooling to accelerate delivery
- Leading advanced technical AI sessions within our upskilling programme
- Evaluating emerging AI tools, frameworks and protocols
- Supporting pragmatic AI adoption across engineering teams
What We’re Looking For:
Essential:
- Strong software engineering foundations (clean code, testing, CI/CD, production mindset)
- Hands-on experience with LLMs (API integrations, prompt engineering, agent workflows, RAG systems)
- Experience shipping AI-powered features to production
- Proficiency in 2+ modern programming languages
- Familiarity with evolving AI tooling (MCP, A2A, Threads or similar)
- Consultancy or client-facing delivery experience
Desirable:
- Vector databases, embeddings, fine-tuning
- Cloud experience (AWS preferred)
- Open-source contributions or visible AI side projects
This is not a research role. We’re looking for builders. If you want to help shape a consultancy that’s genuinely transforming around AI — we’d love to speak.
Senior AI Engineer employer: Enablis
Contact Detail:
Enablis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those at Enablis. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially any production-grade solutions you've built. This is your chance to shine and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of LLMs. Practice common AI engineering problems and be ready to discuss your past projects in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Enablis team and contributing to our AI journey.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We want to see how you've engaged with AI technologies in the past and what excites you about the future of AI. Share any projects or experiences that highlight your passion.
Tailor Your Application: Make sure to customise your application to fit the role. Highlight your experience with LLMs, production-grade solutions, and any consultancy work you've done. We love seeing how your skills align with what we're looking for, so don’t hold back!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your experiences and skills. We appreciate a well-structured application that makes it easy for us to see why you’d be a great fit for our team.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end!
How to prepare for a job interview at Enablis
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially LLMs and RAG systems. Be ready to discuss your hands-on experience with these tools and how you've integrated them into production environments.
✨Showcase Your Engineering Skills
Prepare to demonstrate your software engineering foundations. Bring examples of clean code, testing practices, and CI/CD processes you've implemented in past projects. This will show that you have a production mindset, which is crucial for the role.
✨Be Client-Focused
Since this role involves client-facing delivery, think of examples where you've successfully delivered AI solutions to clients. Highlight your consultancy experience and how you've navigated client needs while delivering technical solutions.
✨Stay Current with AI Trends
Familiarise yourself with the latest AI tools and frameworks. Be prepared to discuss any emerging technologies you've evaluated or used, and how they could benefit Enablis's internal AI platform and client solutions.