Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and deploy cutting-edge AI applications in a flexible remote-first environment.
- Company: Established tech company focused on innovative Conversational AI solutions.
- Benefits: Competitive salary, comprehensive benefits, and a work-from-anywhere policy.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 2+ years in AI/ML engineering with strong Python and web tech skills.
- Other info: Exciting opportunities for career growth and development in a collaborative culture.
The predicted salary is between 90000 - 120000 £ per year.
TalentCo are delighted to be partnering with an established PE-backed tech company looking to hire several high-calibre AI Engineers into their UK business, as they build a new Conversational AI platform from the ground up. These hires will be based predominantly from home, with occasional trips to their HQ just north of London, but with plenty of flexibility to suit individual circumstances.
The client are developing a low-code, multi-tenant platform that enables large enterprises to design, build and deploy AI agents capable of handling both single-step LLM tasks and complex multi-step agentic workflows.
As an AI Engineer you will:
- Architect and implement the LLM, agentic and RAG modules that power the platform's low-code environment.
- Build primitives, abstractions and orchestration components that allow clients to construct robust agentic workflows with deterministic and probabilistic behaviours.
- Develop scalable backend services for multi-tenant execution of AI agents, including concurrency management, task routing and resource control.
- Fine tune and evaluate LLMs and SLMs for enterprise use cases such as knowledge automation, summarisation, classification, conversational agents and multi-step reasoning.
- Deploy LLM-based applications and agentic workflows at scale, with practical awareness of compute cost modelling, latency trade-offs, container orchestration and distributed systems patterns.
We want to hear from you if:
- You have 2+ years of hands-on experience building production applications, with at least 1 year as an AI Engineer or ML Engineer shipping AI products and features.
- You're an expert when it comes to backend development using Python and you're proficient in modern web technologies, especially TypeScript.
- You have an understanding of AI-powered applications, including LLMs, chat interfaces, and agentic workflows or strong desire to build AI products from scratch.
- Hands-on experience building and deploying LLM-based applications, including knowledge of tokenisation, prompt optimisation, model selection and evaluation methods.
- Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures.
What do they offer?
- Salary between £90k-£120k
- Comprehensive benefits package
- Remote-first setup with occasional visits to North London HQ
- Work from anywhere policy
AI Engineer (Conversational AI) in Luton employer: TalentCo
Contact Detail:
TalentCo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Conversational AI) in Luton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and backend development. This is your chance to demonstrate what you can do beyond just a CV – let your work speak for itself!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios specific to AI engineering. Practice coding challenges and be ready to discuss your past projects in detail – we want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and contributing to the exciting work we’re doing in Conversational AI.
We think you need these skills to ace AI Engineer (Conversational AI) in Luton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with backend development, especially in Python and TypeScript, and any hands-on projects you've done with LLMs or conversational AI.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about building AI products and how your skills align with the job description. Be genuine and let your personality come through.
Showcase Relevant Projects: If you've worked on any relevant projects, whether personal or professional, make sure to mention them. Include details about your role, the technologies you used, and the impact of your work. This will help us see your practical experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at TalentCo
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of backend development, especially with Python and TypeScript. Be ready to discuss your hands-on experience with LLMs and agentic workflows, as well as any projects you've worked on that showcase your skills in building AI products.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. This could include examples of fine-tuning LLMs or managing concurrency in scalable architectures. Companies love to see how you approach complex problems!
✨Understand the Company’s Vision
Do a bit of research on the tech company and their new Conversational AI platform. Understanding their goals and how your role as an AI Engineer fits into their vision will help you tailor your answers and show genuine interest in the position.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. This could be about their low-code platform, the team dynamics, or how they envision the future of AI in their business. It shows you're engaged and eager to contribute!
