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- 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 shaping the future of AI technology and make a real impact.
- Qualifications: 2+ years in AI/ML engineering, strong Python skills, and cloud infrastructure knowledge.
- Other info: Exciting opportunities for career growth and development in a collaborative 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 Manchester employer: TalentCo
Contact Detail:
TalentCo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Conversational AI) in Manchester
✨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 Python and modern web technologies, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of LLMs and agentic workflows. Be ready to discuss your hands-on experience and how you've tackled challenges in previous roles. Confidence is key!
✨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 Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with LLMs, backend development in Python, and any relevant projects you've worked on. 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 a bit of personality!
Showcase Your Projects: If you've got any projects that demonstrate your skills in AI or backend development, make sure to mention them. Whether it's a GitHub repo or a live demo, we want to see what you've built and how you approach problem-solving.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at TalentCo
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python and TypeScript, as well as the latest trends in AI-powered applications. Be ready to discuss your hands-on experience with LLMs and agentic workflows, as this will show your depth of understanding and passion for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous projects. Whether it's fine-tuning models or managing concurrency in backend services, demonstrating your problem-solving abilities will impress the interviewers and highlight your practical experience.
✨Understand Their Platform
Familiarise yourself with low-code environments and multi-tenant architectures. Being able to discuss how you would approach building robust agentic workflows or deploying LLM-based applications will show that you're not just a fit for the role, but also genuinely interested in their platform.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for their Conversational AI platform and how they see it evolving. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals and values.
