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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 with a focus on innovative Conversational AI solutions.
- Benefits: Competitive salary, comprehensive benefits, and a remote-first work culture.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 2+ years in AI/ML engineering, strong Python skills, and cloud infrastructure knowledge.
- 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 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 Bath employer: TalentCo
Contact Detail:
TalentCo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Conversational AI) in Bath
✨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 LLMs and conversational AI. This is your chance to demonstrate your expertise and passion for building AI products from scratch.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, cloud infrastructure, and scalable architectures. We want to see how you can contribute to building that low-code platform!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI Engineer (Conversational AI) in Bath
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. 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’re interested in your hands-on experience with LLM-based applications and agentic workflows, so don’t hold back!
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 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 brush up on your knowledge of backend development, especially with Python and TypeScript. Be ready to discuss your hands-on experience with LLMs and how you've built AI products in the past. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex problems you've solved in previous roles, particularly those related to AI and multi-step workflows. Think about how you approached these challenges and what the outcomes were. This will demonstrate your ability to architect and implement solutions effectively.
✨Understand Their Platform
Familiarise yourself with low-code environments and how they apply to AI agents. Knowing how to design and deploy scalable applications will give you an edge. You might even want to bring some ideas to the table about how you could improve their platform!
✨Be Ready for Technical Questions
Expect technical questions that dive deep into your understanding of cloud infrastructure and scalable architectures. Brush up on concepts like concurrency management and resource control, as these are crucial for the role. Practising coding challenges or system design questions can also be beneficial.
