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For Companies At a Glance
- Tasks: Own AI features from prototype to production, designing and building reliable systems.
- Company: Join a fast-scaling, PE-backed tech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work-from-home options, and opportunities for professional growth.
- Why this job: Make a real impact by solving customer problems with cutting-edge AI technology.
- Qualifications: 5+ years in software engineering with experience in AI/ML and full-stack development.
- Other info: Be part of an exceptional team and shape the future of AI products.
The predicted salary is between 36000 - 60000 £ per year.
Amberes Birmingham, England, United Kingdom
Full Stack Engineer – AI
This range is provided by Amberes. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Senior Full Stack AI Engineer
- Completely GREENFIELD project
- Location: Birmingham (WFH split)
Overview
- PE-backed by a world top-ranking business! Our client is scaling fast and building AI products that solve real customer problems. They are looking for a Senior Full Stack AI Engineer to own AI features end-to-end, from prototype to production. You will design, build, and operate reliable AI systems that power their next-generation platform.
The Position
- You will take ownership of AI-powered product features. You will move fast from concept to customer, working across the stack to design APIs, build front-end interfaces, integrate AI models, and ensure performance, reliability, and observability in production.
Key Responsibilities
- Build and ship AI-driven features end-to-end, from prototype to production
- Design, implement, and maintain inference services with strong observability
- Develop and optimise retrieval and context pipelines, including chunking, embedding, ranking, and grounding
- Apply safety, auditability, and deterministic fallback mechanisms
- Run evaluation loops to improve quality, latency, and cost
- Design scalable backend APIs and data models for intelligent features
- Collaborate with product, design, and customers to translate workflows into real outcomes
- Mentor engineers on AI best practices and production readiness
What We Are Looking For:
- 5+ years of experience in software engineering with shipped production systems
- Strong proficiency across the stack, including React, TypeScript, Python, Node, or Go
- Proven experience building and deploying AI or ML features in production
- Hands-on with embeddings, vector databases, and LLM-based systems
- Strong understanding of data pipelines, inference optimisation, and prompt engineering
- Experience with monitoring, tracing, and scaling backend systems
- Experience with fine-tuning or instruction tuning
- Experience with GPU workloads, batching, and latency optimisation
Why Join
- You will work with an exceptional team solving real-world problems with AI. You will ship fast, have ownership from day one, and help shape a production-ready AI stack used by thousands of customers.
If of interest, please apply!
Thank you,
Team Amberes
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- IT Services and IT Consulting and Software Development
Referrals increase your chances of interviewing at Amberes by 2x
We are not including additional job postings or unrelated notices in this refined description.
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Full Stack Engineer - AI employer: Amberes
Contact Detail:
Amberes Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer - AI
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and full-stack development. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Full Stack Engineer - AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Full Stack Engineer - AI role. Highlight your proficiency in React, TypeScript, Python, and any AI or ML projects you've worked on. We want to see how you can contribute to our greenfield project!
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 experience aligns with our mission. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through!
Showcase Your Projects: If you've built any AI-driven features or applications, make sure to include them in your application. We’re keen to see your hands-on experience, so links to GitHub repos or live demos can really set you apart from the crowd!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Amberes
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like React, TypeScript, Python, Node, or Go. Brush up on your knowledge of AI and ML features, as well as data pipelines and inference optimisation, so you can confidently discuss your experience during the interview.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built and deployed AI features. Highlight your role in taking these projects from prototype to production, and be ready to discuss the challenges you faced and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Company’s Vision
Research Amberes and their AI products before the interview. Understand their mission and the problems they aim to solve with AI. This will help you align your answers with their goals and show that you’re genuinely interested in contributing to their success.
✨Prepare Questions
Have a list of thoughtful questions ready to ask your interviewers. Inquire about their current projects, team dynamics, and how they measure success in the role. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
