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AI Software Engineer, GraphRAG, TypeScript, AWS, COR7427A

Corriculo

Manchester

On-site

GBP 100,000 - 125,000

Full time

Yesterday
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Job summary

An innovative tech start-up in Manchester is seeking an AI Software Engineer to lead the development of a groundbreaking analysis application. You will take ownership of the architecture and be a hands-on technical authority, driving complex AI systems. The ideal candidate has experience with LLMs and Knowledge Graphs, and is proficient in TypeScript, React, and AWS. This role offers a significant opportunity to shape the future of intelligent workflows.

Qualifications

  • Demonstrable experience of building and deploying complex AI applications using LLMs.
  • Deep knowledge with Knowledge Graphs and vector databases.
  • Strong technical fluency in TypeScript, React, and AWS.

Responsibilities

  • Own the end-to-end architecture and execution of the flagship analysis application.
  • Act as the technical authority for complex AI systems.
  • Translate requirements into scalable technical solutions.

Skills

Building complex AI applications
Knowledge Graph expertise
TypeScript fluency
React proficiency
Experience with Docker
AWS services knowledge

Tools

neo4j
Langgraph
Langchain
SageMaker
Bedrock
Hugging Face
Job description
AI Software Engineer, GraphRAG, TypeScript, AWS, COR7427A

An exceptional opportunity for an AI Software Engineer / Knowledge Graph Specialist, to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight.

What will I be doing?

The AI Software Engineer will own the end-to-end architecture and execution of my client's flagship analysis application. Driving the projects in a hands-on role, the AI Software Engineer will be the technical authority for complex AI systems, ensuring that what is built is not just functional but scalable, intelligent and defensible. This will include :

  • Owning the architecture for the modules being built
  • Working directly with the CTO and product specialists to translate requirements into scalable technical solutions
  • Actively coding, building and solving complex backend challenges
What do I need?
  • Demonstrable experience of building and deploying complex AI applications using LLMs, RAG and agentic workflows
  • GraphRAG / Knowledge Graph expertise - deep knowledge with Knowledge Graphs and vector databases
  • Strong technical fluency - TypeScript / React, Langgraph / Langchain, neo4j, Docker, AWS (SageMaker, Bedrock, Hugging face), to name a few

Benefits include : ...

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