AI Developers

True North Group
Newcastle upon Tyne, United Kingdom
Last month
£50,000 – £80,000 pa
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Salary

£50,000 – £80,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Last month)

AI Developer (Mid–Senior)

Location: Newcastle upon Tyne or Remote (UK)- PERM

Salary: £50,000 – £80,000

We’re working with a growing technology organisation looking to expand its engineering capability with a number of AI Developers. You’ll play a key role in building intelligent, scalable features, leveraging the latest in LLMs, retrieval-augmented generation (RAG), and cloud-native technologies.

There are multiple roles available, ranging from mid-level to senior engineers, offering opportunities to both deepen technical expertise and take ownership of AI initiatives.

What You’ll Be Doing

  • Design and build AI-powered features using modern LLM frameworks
  • Develop and optimise RAG pipelines (vector databases, embeddings, retrieval strategies)
  • Integrate AI services into existing backend systems and APIs
  • Work with structured and unstructured data to improve model outputs
  • Collaborate with cross-functional teams to deliver high-impact features
  • Contribute to architecture decisions and help shape AI capability
  • Ensure performance, scalability, and reliability of AI systems in production

Tech & Tools

  • Backend: .NET / C# (or similar), REST APIs
  • AI/ML: OpenAI, Azure AI, or similar LLM platforms
  • RAG: Vector databases (e.g. Pinecone, Weaviate, or similar)
  • Cloud: Azure, AWS, or GCP
  • Frontend collaboration: any modern JS framework (desirable)
  • DevOps: CI/CD pipelines, containerisation

What We’re Looking For

Mid-Level

  • 2–4+ years of software development experience
  • Exposure to AI/ML or LLM-based applications
  • Understanding of APIs, backend systems, and cloud environments
  • Interest or hands-on experience with RAG or semantic search

Senior-Level

  • 5+ years of experience in software engineering
  • Strong experience designing and deploying AI-driven systems
  • Proven experience building or scaling RAG architectures
  • Ability to lead projects, mentor others, and influence technical direction

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If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.