# AI Engineer at Wide and Wise

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> We are looking for an AI Engineer to join our partner compan

- **Company:** Wide and Wise (https://jobs.trythestack.co/companies/wide-and-wise)
- **Location:** London, GB, United Kingdom
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Not stated
- **Key skills:** AI Engineering, Large Language Models, LangChain, Semantic Search, RAG, Fine-Tuning, Analytical Skills, Problem-Solving, Production-Level Software, Scalable AI Systems, Technical Specifications, Collaboration, Infrastructure, AI Systems, Customer-Facing Applications
- **Posted by employer:** 2025-11-10
- **Added to The Stack:** 2026-03-30
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.wideandwise.co/jobs/6736170-ai-engineer (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/ai-engineer-wide-and-wise

## About the role

We are looking for an AI Engineer to join our partner company! You will play a central role in building advanced AI systems that accelerate progress in the physical world, transforming industries such as aerospace, healthcare, and energy that are still slowed by outdated, manual systems. This is a once-in-a-generation opportunity to help define how humanity brings new ideas into reality — by moving fast, working with intensity, and executing without compromise. KEY RESPONSIBILITIES * Design and deploy multimodal foundation model–based products using cutting-edge LLM technologies. * Apply expertise in LangChain, semantic search, RAG, and fine-tuning (SFT/RL) to build scalable AI agents and tools. * Ship production-grade code from day one and take full ownership of your projects. * Develop technical specifications, build features end-to-end, and ensure reliable performance and scalability. * Collaborate across functions to solve complex challenges in infrastructure, AI systems, and customer-facing applications. QUALIFICATIONS * Minimum 2 years of engineering experience with a proven track record of building and shipping production-level software. * Deep knowledge of large language models, agents, and multimodal AI systems. * Hands-on experience with LLM frameworks (LangChain, semantic search, indexing, RAG, fine-tuning). * Strong analytical and problem-solving abilities with a high sense of ownership. A high-intensity, mission-driven environment in London, working together 6 days a week. Visa sponsorship, relocation assistance, team meals, and all tools to move fast.

## Responsibilities

The AI Engineer will design and deploy multimodal foundation model-based products using cutting-edge LLM technologies. They will collaborate across functions to solve complex challenges in infrastructure, AI systems, and customer-facing applications.

## Requirements

Candidates should have a minimum of 2 years of engineering experience with a proven track record of building and shipping production-level software. Deep knowledge of large language models and hands-on experience with LLM frameworks is essential.

## FAQ

- **Is this AI Engineer role still open?** It was posted on 2025-11-10. Listings more than 30 days old may no longer be active, so check Wide and Wise's site before applying.
- **Where is this role located?** The listing gives the location as London, GB, United Kingdom.
- **What skills does this role ask for?** The listing names: AI Engineering, Large Language Models, LangChain, Semantic Search, RAG, Fine-Tuning, Analytical Skills, Problem-Solving, Production-Level Software, Scalable AI Systems, Technical Specifications, Collaboration, Infrastructure, AI Systems, Customer-Facing Applications.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://jobs.wideandwise.co/jobs/6736170-ai-engineer). The Stack does not take applications.
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- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
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