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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 focused 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.
- Qualifications: 2+ years in AI/ML engineering with strong Python and web tech skills.
- 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 Shrewsbury employer: TalentCo
Contact Detail:
TalentCo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Conversational AI) in Shrewsbury
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and agentic workflows. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to backend development and AI applications. 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 Shrewsbury
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 applications, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your understanding of agentic workflows and cloud infrastructure.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get the ball rolling on your journey with us!
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 Their Platform
Familiarise yourself with the company's low-code, multi-tenant platform. Think about how you would architect and implement modules for it. Being able to discuss how you would contribute to their specific needs will set you apart from other candidates.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s vision for their Conversational AI platform or their approach to cloud infrastructure. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
