AI Developers

True North Group
Newcastle upon Tyne, United Kingdom
Today
£50,000 – £80,000 pa

Salary

£50,000 – £80,000 pa

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

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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