AI Engineer at La Fosse
London, London - England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

25 Dec, 26

Salary

65000.0

Posted On

26 Sep, 26

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Services

Description

About the job


Senior AI Engineer

📍 London - 4 days per week in the office💰 £100-150k + meaningful equity🛂 Visa sponsorship available

Summary

I’m working with a fast-growing Series A AI company building software for complex, high-value knowledge work. They’ve found strong product-market fit and are now expanding a small, high-calibre engineering team in London. I'm working with the founding team and have hired several engineers for them already - excited to share more details if you'd like to apply!

The Role

They’re looking for a Senior AI Engineer to take ownership of the agentic systems at the heart of the product. This is very much applied AI: building production systems that can research, reason across large volumes of information and produce reliable, evidence-backed outputs.

  • You’ll work across:LLM agents and agent workflows
  • Retrieval, search and document understanding
  • Evaluation frameworks and AI reliability
  • Context engineering and tool use
  • Taking prototypes into production
  • Working closely with product and customers to solve real problems
  • Owning features end-to-end


The team

The team is deliberately small and senior, so you’ll have plenty of influence over architecture, product direction and how the AI stack develops.

The tech stack

Current technologies include Python, LLMs, agent frameworks, OpenSearch, FastAPI, Postgres and RabbitMQ. They’re much more interested in what you’ve actually built and shipped than AI theory or experimentation in isolation.

What They’re Looking For

  • Ideally, you’ll have:Strong Python/software engineering experience
  • Shipped LLM, agent or retrieval-based products into production
  • Hands-on experience with agents, RAG/retrieval, search and evals
  • Strong product instincts and a high level of ownership
  • Experience in a fast-moving startup or similarly demanding environment


If it sounds relevant, drop me a message and I can share more.

… more


How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

About the job


Senior AI Engineer

📍 London - 4 days per week in the office💰 £100-150k + meaningful equity🛂 Visa sponsorship available

Summary

I’m working with a fast-growing Series A AI company building software for complex, high-value knowledge work. They’ve found strong product-market fit and are now expanding a small, high-calibre engineering team in London. I'm working with the founding team and have hired several engineers for them already - excited to share more details if you'd like to apply!

The Role

They’re looking for a Senior AI Engineer to take ownership of the agentic systems at the heart of the product. This is very much applied AI: building production systems that can research, reason across large volumes of information and produce reliable, evidence-backed outputs.

  • You’ll work across:LLM agents and agent workflows
  • Retrieval, search and document understanding
  • Evaluation frameworks and AI reliability
  • Context engineering and tool use
  • Taking prototypes into production
  • Working closely with product and customers to solve real problems
  • Owning features end-to-end


The team

The team is deliberately small and senior, so you’ll have plenty of influence over architecture, product direction and how the AI stack develops.

The tech stack

Current technologies include Python, LLMs, agent frameworks, OpenSearch, FastAPI, Postgres and RabbitMQ. They’re much more interested in what you’ve actually built and shipped than AI theory or experimentation in isolation.

What They’re Looking For

  • Ideally, you’ll have:Strong Python/software engineering experience
  • Shipped LLM, agent or retrieval-based products into production
  • Hands-on experience with agents, RAG/retrieval, search and evals
  • Strong product instincts and a high level of ownership
  • Experience in a fast-moving startup or similarly demanding environment


If it sounds relevant, drop me a message and I can share more.

… more


Loading...