At a Glance
- Tasks: Build and ship full-stack AI products while mentoring junior engineers.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on rapid learning and career advancement.
- Why this job: Make a real impact with cutting-edge AI technology and mentor the next generation of engineers.
- Qualifications: Experience in full-stack development and integrating AI models into products.
The predicted salary is between 70000 - 90000 £ per year.
Job Overview We are looking for a Senior AI Engineer to build and ship production‑grade, full‑stack AI products.
The role is hands‑on, end‑to‑end, and focused on delivering high‑quality features quickly.
You will integrate AI and machine learning models into real products, use AI‑assisted coding tools as your primary development approach, and mentor junior engineers.
Responsibilities Own end‑to‑end delivery of AI‑powered features and services, from scoping through production.
Write, review, and ship high‑quality code daily.
Make pragmatic architecture and technology decisions.
Integrate large language models, machine learning pipelines, and AI agents into products reliably.
Use AI coding tools and agentic workflows as your primary development method.
Evaluate and adopt new AI tooling to improve speed and quality.
Prototype rapidly, ship early, learn fast, and iterate with short feedback loops.
Mentor junior engineers and interns through pairing sessions and code review.
Champion testing, observability, and maintainability alongside delivery speed.
What Good Looks Like (First 6–12 Months) Consistently shipping production‑grade AI features with AI cowork tools as the default workflow.
Trusted to own ambiguous, high‑impact pieces of delivery end‑to‑end.
Measurable contribution to delivery speed and quality across the team.
Positive influence on engineers around you through standards, review, and mentorship.
Qualifications Strong builder who ships working software consistently.
Experience building and shipping full‑stack applications in production.
Track record integrating AI and machine learning models into real products.
Solid instincts for AI architecture, combining application code, data, and models reliably.
Hands‑on experience with AI pair‑programming and agentic coding workflows.
Fluent in several technologies across Python, .
NET, Java, and React.
Rapid ramp on new languages and frameworks.
Comfortable working across Azure, AWS, and GCP.
Choose tools based on fit, cost, and delivery speed.
Valued testing, observability, and maintainability alongside speed.
Comfortable with ambiguity and can act without waiting for perfect information.
Generous with knowledge and enjoy helping teammates grow.
Location
Senior AI Engineer employer: Engie
ENGIE is an exceptional employer, offering a competitive salary and clear career progression within the renewable energy sector at our Gorst Energy AD Facility in Exeter. Our supportive team culture fosters collaboration and knowledge-sharing, while our commitment to employee wellbeing ensures a healthy work-life balance. With access to professional development and training programmes, you will have the opportunity to grow your skills and contribute meaningfully to the UK's net-zero ambitions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Engie or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Engie.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Engie.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Engie that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Engie.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Engie and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Engie
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Engie uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
