WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Artificial Intelligence Engineer

The Wave
Greater London, UK
11 days ago
Apply on www.collegerecruiter.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
www.collegerecruiter.com

Tech stack

Artificial Intelligence Graph Database Python (Programming Language) Neo4j Operational Data Store Unstructured Data Flask (Web Framework) Backend Fastapi Front End Software Development

Job description

  • Build and ship AI features that transform unstructured operational data into trustworthy, structured knowledge for manufacturers.
  • Extend and maintain their knowledge graph platform, including adding a time dimension - a core technical challenge.
  • Design and implement RAG and agentic systems that work reliably in industrial environments.
  • Own end-to-end delivery: ingestion, embeddings, retrieval, ontology adjustments, deployment and monitoring.
  • Work closely with a small engineering team (backend, frontend, architecture) to bring AI capabilities into production quickly.
  • Tackle a 40-item AI backlog and help define how AI is built and scaled inside the organisation.

Requirements

  • Strong Python engineering skills with experience delivering production AI systems (assumed FastAPI/Flask familiarity).
  • Practical experience working with structured and unstructured data - beyond notebooks and prototypes.
  • Understanding of RAG, embedding retrieval algorithms, self-refinement patterns and knowledge graph integration.
  • Familiarity with Neo4j or graph databases and cloud deployment environments.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.collegerecruiter.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:24 min

Comparing Neo4j and GraphQL conceptual models

William Lyon · LIVE

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

2:03 min

Solving complex engineering challenges in artificial intelligence deployment

Nico Axtmann · World Congress 2022

3:30 min

Introduction to Neo4j and remote developer relations work

1:31 min

Essential AI and human skills for future teams

Alexander Weißhaupt Alexander Weißhaupt +1 · World Congress 2025

Videos

See all
Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j thumbnail
46:51
over 1 year ago

Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j

Intro to FastAPI thumbnail
42:19
World Congress 2022 • about 4 years ago

Intro to FastAPI

Sebastián Ramírez

Developing the Backend with Stefan Lingler, CTO at Shpock thumbnail
24:02
Coffee With Developers • over 8 years ago

Developing the Backend with Stefan Lingler, CTO at Shpock

Stefan Lingler, Thomas Pamminger

Putting the Graph In GraphQL With The Neo4j GraphQL Library thumbnail
47:48
LIVE • almost 5 years ago

Putting the Graph In GraphQL With The Neo4j GraphQL Library

William Lyon

Hacking AI at the Edge of the Indian Ocean thumbnail
29:03
World Congress 2026 Europe • 2 months ago

Hacking AI at the Edge of the Indian Ocean

Anastasiia Stefanska, James Cha-Earley

Building and Deploying Multi-Agent Systems with ADK and Vertex AI thumbnail
1:08:35
Europe 2026 Virtual • 2 months ago

Building and Deploying Multi-Agent Systems with ADK and Vertex AI

Saoussen Chaabnia

Related articles

See all