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- 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 shaping the future of AI technology with real-world impact.
- Qualifications: 2+ years in AI/ML engineering, strong Python skills, and cloud infrastructure knowledge.
- Other info: Exciting opportunity for career growth in a collaborative and innovative setting.
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 Leicester employer: TalentCo
Contact Detail:
TalentCo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Conversational AI) in Leicester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, 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 building LLM-based applications and agentic workflows.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python, cloud infrastructure, and scalable architectures. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team and help build amazing AI products.
We think you need these skills to ace AI Engineer (Conversational AI) in Leicester
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 work with LLMs or AI products. 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. Keep it engaging and personal – we love to see your personality come through!
Showcase Relevant Projects: If you've worked on any projects related to conversational AI or LLMs, make sure to mention them. Include links to your GitHub or any live demos if possible. We’re keen to see what you’ve built and how you approach problem-solving!
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 makes the process smoother for everyone involved!
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 homework 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 stand out. It shows you're genuinely interested and invested in their mission.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask during the interview. This could be about their low-code platform, the team dynamics, or how they handle deployment at scale. Asking questions not only shows your interest but also helps you gauge if the company is the right fit for you.
