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- Tasks: Architect and implement AI modules for a cutting-edge conversational AI platform.
- Company: Established tech company with a focus on innovative AI solutions.
- Benefits: Salary up to £130k, comprehensive benefits, and flexible remote work.
- Why this job: Join a dynamic team building impactful AI products from the ground up.
- Qualifications: 2+ years in production applications, expertise in Python and modern web technologies.
- Other info: Work from anywhere with a maximum of 1 day in the office.
The predicted salary is between 80000 - 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 HQ (just north of London), as they build a new conversational AI platform from the ground up. These hires will be based predominantly from home, ideally spending 1 day per week in the office, 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 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 £100k-£130k
- Comprehensive benefits package
- Maximum of 1 day a week in office, the rest based at home
- Work from anywhere policy
AI Engineer in London employer: TalentCo
Contact Detail:
TalentCo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who are already working in AI. A friendly chat can lead to insider info about job openings or even referrals that could give you a leg up.
✨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 your expertise in Python and modern web technologies, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and technical questions. Practice explaining your past projects and how they relate to the role of an AI Engineer. Confidence and clarity can really set you apart!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes get your application noticed faster than through other channels.
We think you need these skills to ace AI Engineer in London
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 AI applications. We want to see how your skills match 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 building AI products and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Relevant Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We want to see examples of your work with LLMs, agentic workflows, or any scalable backend services you've developed. It helps us understand your practical experience!
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 that you’re genuinely interested in joining our team at StudySmarter!
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 experience with LLMs and agentic workflows, as well as any projects you've worked on that relate to the job description.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you overcame them. This is particularly important for an AI Engineer role where you'll need to demonstrate your ability to architect and implement complex systems.
✨Understand Their Platform
Familiarise yourself with low-code platforms and how they function. Being able to discuss how you would approach building scalable backend services for multi-tenant execution will show that you're not just a techie but also understand the business side of things.
✨Ask Insightful Questions
Prepare thoughtful questions about their conversational AI platform and the team dynamics. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
