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- Tasks: Lead AI projects, integrating LLMs and designing automated workflows for major brands.
- Company: Fast-growing SaaS startup in the hospitality tech space.
- Benefits: Competitive salary, hands-on experience, and a chance to shape AI strategy.
- Why this job: Own your projects and make a real impact in a dynamic environment.
- Qualifications: Strong software engineering skills and experience with LLMs or AI systems.
- Other info: Onsite role in Holborn, with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Techmunity is exclusively hiring a Senior AI Engineer for a fast‑growing SaaS startup in the hospitality tech space. You’ll be coming in to lead the next phase of their AI roadmap, from LLM‑powered automation to fully agentic workflows used by major high‑street coffee chains and quick‑service restaurants. This is a strategic role. You’ll be the most senior AI specialist in the business, working alongside an Engineering Manager with 15+ years’ experience across startups and UK Government.
What you’ll work on:
- Integrate and productionise LLMs, embeddings, vector search and retrieval pipelines
- Design and build agentic workflows (e.g. automated ordering, forecasting, operational automation)
- Evaluate build‑vs‑buy decisions across OpenAI, Anthropic, open‑source models and specialised services
- Work end‑to‑end: data flow, model selection, orchestration, backend integration and delivery
- Build forecasting and traditional ML systems using the company’s large operational dataset
- Collaborate with engineering, product and design to shape the AI strategy and priorities
- Ship high‑impact features that reach real stores in days and weeks, not quarters
What they’re looking for:
- Strong software engineering background (TypeScript, Node, APIs, distributed systems)
- Hands‑on experience integrating LLMs or building RAG pipelines
- Understanding of vector databases, embeddings and evaluation frameworks
- Ability to design multi‑modal or multi‑service AI systems (text, audio, video or tabular)
- Comfortable owning architecture and implementation without relying on large ML teams
- Someone who ships, iterates and operates with a product mindset
- Happy being onsite in Holborn five days a week
Nice to have:
- Experience with open‑source models (Hugging Face / PyTorch)
- Work with LangChain, LlamaIndex or similar orchestration frameworks
- Exposure to forecasting, time‑series or traditional ML methods
- Startup experience or delivering AI features in fast‑moving environments
Package & Logistics:
- 5 days/week onsite in Holborn
- Interviews are underway. If you’re an AI engineer who wants ownership, pace and a chance to define an AI roadmap from day one, message me or email
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: Software Development and IT System Custom Software Development
Artificial Intelligence Engineer in England employer: Techmunity
Contact Detail:
Techmunity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at Techmunity or similar companies. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions to open-source models, make sure to highlight them in conversations. Demonstrating your hands-on experience with LLMs and AI systems can really impress recruiters.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of distributed systems. Practice common algorithms and data structures, as well as specific technologies mentioned in the job description like TypeScript and Node.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Techmunity.
We think you need these skills to ace Artificial Intelligence Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of an AI Engineer. Highlight your experience with LLMs, TypeScript, and any relevant projects that showcase your skills in building AI systems. We want to see how you can contribute to our AI roadmap!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our needs. Be sure to mention any specific experiences that relate to the hospitality tech space.
Showcase Your Projects: If you've worked on any cool AI projects, don’t hold back! Include links or descriptions of your work, especially if it involves LLMs or multi-modal systems. We love seeing practical applications of your skills!
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 this exciting opportunity. Don’t miss out on the chance to join our team!
How to prepare for a job interview at Techmunity
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around LLMs and agentic workflows. Be ready to discuss your hands-on experience with integrating these technologies and how you've tackled challenges in past projects.
✨Show Off Your Engineering Skills
Since a strong software engineering background is crucial, prepare to talk about your experience with TypeScript, Node, and APIs. Have examples ready that showcase your ability to design and implement complex systems, especially in fast-paced environments.
✨Be Ready for Technical Questions
Expect some deep dives into technical topics like vector databases and embeddings. Brush up on evaluation frameworks and be prepared to explain your thought process when making build-vs-buy decisions. This will show your strategic thinking.
✨Demonstrate Your Product Mindset
This role requires someone who ships and iterates quickly. Share examples of how you've delivered high-impact features in short timeframes. Highlight your collaboration with cross-functional teams to shape AI strategies and priorities.
