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For Companies At a Glance
- Tasks: Build and deploy cutting-edge AI applications in a flexible remote environment.
- Company: Established tech company focused on innovative Conversational AI solutions.
- Benefits: Competitive salary, comprehensive benefits, and a remote-first work culture.
- Why this job: Join a dynamic team shaping the future of AI technology.
- Qualifications: 2+ years in AI/ML engineering with strong Python and TypeScript skills.
- Other info: Exciting opportunity for career growth in a rapidly evolving field.
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 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) employer: TalentCo
Contact Detail:
TalentCo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Conversational AI)
✨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 your expertise in Python, TypeScript, and LLM applications – make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI engineering. Practice explaining your thought process and problem-solving approach, as this will help you stand out during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout 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 AI Engineer (Conversational AI)
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 projects related to LLMs or conversational AI. 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 experience aligns with our needs. Be sure to mention any specific projects you've worked on that relate to conversational AI.
Showcase Your Projects: If you've got any relevant projects, whether they're personal or professional, make sure to include them. We love seeing practical examples of your work, especially if they involve deploying LLM-based applications or working with cloud infrastructure.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
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 AI-powered applications.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled 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 the Company’s Vision
Familiarise yourself with the tech company’s goals and the Conversational AI platform they are building. Showing that you understand their mission and how your skills can contribute will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, the team, and the technology stack. This not only shows your interest but also helps you gauge if the company is the right fit for you. Think about asking how they approach scalability and resource management in their AI solutions.
