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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 Northampton employer: TalentCo
Contact Detail:
TalentCo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Conversational AI) in Northampton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. 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 AI and backend development. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios specific to AI engineering. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer (Conversational AI) in Northampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your backend development expertise in Python and any relevant projects you've worked on, especially those involving LLMs or conversational AI.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about building AI products from scratch. Share specific examples of your experience with AI applications and how you can contribute to our new Conversational AI platform.
Showcase Your Projects: If you've built or contributed to any AI-related projects, make sure to include them in your application. We love seeing practical examples of your work, especially those that demonstrate your understanding of agentic workflows and scalable architectures.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at TalentCo
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python, TypeScript, and cloud infrastructure like AWS or GCP. Be ready to discuss your hands-on experience with LLMs and agentic workflows, as this will show that you’re not just familiar with the concepts but have actually implemented them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous projects. Whether it’s fine-tuning an LLM or managing concurrency in backend services, having concrete stories will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Understand Their Product Vision
Research the company’s Conversational AI platform and be ready to discuss how your skills align with their goals. Showing that you understand their low-code, multi-tenant approach will set you apart and highlight your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, and the technologies they use. This not only shows your enthusiasm for the position but also helps you gauge if the company culture and work style fit your preferences.
