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- Tasks: Architect and implement cutting-edge AI solutions for a new Conversational AI platform.
- Company: Join a dynamic PE-backed tech company with a remote-first culture.
- Benefits: Competitive salary, comprehensive benefits, and flexible work-from-anywhere policy.
- Why this job: Be at the forefront of AI innovation and make a real impact in tech.
- Qualifications: 2+ years in AI/ML engineering, strong Python skills, and cloud infrastructure knowledge.
- Other info: Exciting opportunity for career growth in a collaborative environment.
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 Newport employer: TalentCo
Contact Detail:
TalentCo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Conversational AI) in Newport
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs and agentic workflows. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and practical coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Engineer (Conversational AI) in Newport
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 and deployed AI applications in the past. This is your chance to showcase your technical skills!
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous projects, particularly around building scalable architectures or optimising models. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your thought process.
✨Understand Their Business Model
Research the company’s Conversational AI platform and its target market. Knowing how their low-code environment works and the types of enterprises they serve will help you tailor your responses and show that you're genuinely interested in their mission.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. Inquire about their approach to concurrency management or how they handle latency trade-offs in their applications. This not only shows your interest but also your understanding of the complexities involved in AI engineering.
