Artificial Intelligence Engineer

About the Role
Join a stealth healthtech startup founded by an

ex-Google engineer , building AI tools that empower clinicians to make faster, evidence-based decisions at the bedside.
We’re developing a cutting-edge platform that combines

LLMs ,

retrieval-augmented generation (RAG) , and

vector search infrastructure

to deliver real-time clinical insights. As the

Founding Backend Engineer , you’ll play a critical role in shaping our backend systems, architecture, and engineering culture from the ground up.

What You’ll Do
Build scalable backend microservices in

Python (FastAPI)

to support RAG workflows and user queries
Develop and optimise

vector search pipelines

using tools like

PGVector, Pinecone, or Weaviate
Design embedding orchestration and hybrid retrieval mechanisms
Implement evaluation frameworks (BLEU, ROUGE, hallucination checks) to monitor answer quality
Deploy production systems on

GCP (Cloud Run, Vertex AI, BigQuery, Pub/Sub)
Own observability, IaC (Terraform), and CI/CD (GitHub Actions) pipelines
Collaborate with product, mobile, and clinical experts to ship weekly improvements
Ensure compliance with data privacy standards (GDPR, NHS DSPT)

Who You Are
5+ years of backend experience (ideally with

Python )
Proven track record delivering ML, search, or recommender systems at scale
Deep knowledge of

embeddings ,

LLM-based retrieval , and vector similarity search
Hands-on with

GCP

(or AWS/Azure), Terraform, CI/CD, and observability
Strong communicator, product-minded, and thrives in fast-paced startup environments
UK-based and available to work

2–3 days per week in-office (London)
Bonus Points
Experience in healthcare, medtech, or clinical systems
Familiarity with MLOps tooling (MLflow, Kubeflow, Vertex Pipelines)