At a Glance
- Tasks: Lead the development of a cutting-edge conversational AI platform from home.
- Company: Established PE-backed tech company with a focus on innovation.
- Benefits: Salary up to £140k, comprehensive benefits, and flexible remote work.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 5+ years in AI engineering, expert 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 130000 - 140000 £ per year.
TalentCo are delighted to be partnering with an established PE-backed tech company looking to hire a high-calibre Lead AI Engineer into their UK HQ just north of London, as they build a new conversational AI platform from the ground up. This hire will be based predominantly from home, 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 Lead 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 5+ years of hands-on experience building production applications, with at least 2 years as a Senior/Lead AI 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 £130k-£140k
- Comprehensive benefits package
- Maximum of 1 day a week in office, the rest based at home
- Work from anywhere policy
Lead AI Engineer (Conversational AI) in London employer: TalentCo
Contact Detail:
TalentCo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer (Conversational AI) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs and conversational AI. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and practical scenarios. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key, so let your passion for AI shine through!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves!
We think you need these skills to ace Lead AI Engineer (Conversational AI) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead AI Engineer role. Highlight your hands-on experience with LLMs, backend development in Python, and any relevant projects you've worked on. We want to see how you can contribute to building our conversational AI platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you the perfect fit for this role. Don't forget to mention your experience with cloud infrastructure and scalable architectures – we love that stuff!
Showcase Your Projects: If you've built or contributed to any AI applications, make sure to include them in your application. We want to see your work in action! Whether it's a personal project or something from your previous job, let us know how you tackled challenges and what technologies you used.
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 don’t miss out on any important updates. Plus, it shows us you're keen to join our team at StudySmarter!
How to prepare for a job interview at TalentCo
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and TypeScript. Brush up on your knowledge of LLMs and agentic workflows, as you’ll likely be asked to discuss your hands-on experience with these during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around building scalable backend services or deploying AI applications. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Demonstrate Your Passion for AI
Express your enthusiasm for AI-powered applications and your desire to build innovative products from scratch. Share any personal projects or research you've done in this area to show that you’re not just looking for a job, but are genuinely invested in the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s vision for their conversational AI platform and how they see it evolving. This shows your interest in the role and helps you gauge if the company aligns with your career goals.