Artificial Intelligence Engineer

Conquer AI
Newcastle upon Tyne, UK
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Software as a Service Databases Information Extraction Python (Programming Language) Knowledge-Based Systems Machine Learning Node.Js Software Product Management Software Engineering
+6 more
TypeScript Enterprise Search Large Language Models Build Management Virtual Agents Api Management

Requirements

We’re looking for a highly capable, hands-on AI Engineer with a strong traditional software engineering background and deep applied AI experience.

This is an Outside IR35 contract working on greenfield AI projects for enterprise clients. You’ll be helping design and build real-world systems using LLMs, RAG, vector databases, agentic AI, and workflow automation.

This is not a research-only role. We need someone who can build production-grade systems, integrate with existing platforms, and move quickly from problem definition to working software.

What you’ll be working on:

Agentic AI workflow automation

LLM-powered applications

RAG and knowledge systems

Vector database architecture and retrieval pipelines

Document intelligence and information extraction

AI systems that connect into business workflows

API integrations and backend services

Greenfield client projects and internal Conquer AI product work

Core skills we’re looking for:

Strong machine learning experience

Strong traditional software engineering background

Python

Node.js

TypeScript

LLMs

RAG

Vector databases

Agentic AI systems

Workflow automation

API integrations

Backend engineering

You’ll be a strong fit if you:

Have built real AI systems beyond prototypes

Can design and ship reliable backend services

Understand retrieval, ranking, chunking, embeddings, and evaluation

Have experience integrating LLMs into business workflows

Can work with ambiguity and move quickly

Are comfortable working with client-facing teams

Can turn vague business problems into working technical solutions

Care about practical delivery, not just experimentation

Nice to have:

Experience with AWS, Azure, or GCP

Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar

Experience with Pinecone, Weaviate, Qdrant, Chroma, pgvector, or similar

Experience with document processing, OCR, structured extraction, or enterprise search

Experience in consulting, enterprise delivery, SaaS, or startup environments, If you’re a strong software engineer with serious applied AI experience and you want to work on meaningful agentic AI systems, we’d like to speak with you.

Apply for this position

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