Remote Full-Stack AI Engineer with SC Clearance (Contract)

Harnham - Data & Analytics Recruitment; City Of London; Remote; GBP 92,000 - 101,000; Part time

Job summary

Harnham - Data & Analytics Recruitment seeks a Full Stack AI Engineer on a contract basis. Must have SC Clearance, work fully remote in the UK, and operate outside IR35. Immediate start with day-rate £500–£550.

You will design and develop full-stack AI apps, build interfaces and APIs, deploy LLM-powered solutions, and manage data stores. Experience with Docker and cloud platforms like Azure or GCP is valued.

Qualifications

• Strong experience as a Full Stack AI Engineer or similar AI-focused role.
• Advanced capability with Python and TypeScript across frontend and backend.
• Hands-on experience with LLMs, RAG architectures, agentic AI, and modern AI frameworks.
• Strong knowledge of APIs, system integration, and database technologies.
• Experience deploying AI solutions in cloud environments (Azure or GCP) using Docker.
• Knowledge of vector databases, semantic search, and knowledge graphs.

Responsibilities

• Design and develop full stack AI applications using Python and TypeScript.
• Build and enhance frontend interfaces, backend services, APIs, and architectures.
• Develop and deploy LLM-powered solutions, including RAG pipelines and agentic AI apps.
• Integrate and manage SQL and NoSQL data stores with good data modelling.
• Implement vector databases, semantic search, and knowledge graph tech.
• Take AI products from PoC to production-ready deployments with secure infra.

Skills

Full stack AI engineer

Python

TypeScript

LLM

RAG architectures

API design

Docker

Azure

GCP

Security clearance

Tools

Docker

Azure

GCP

Vector databases

Job description

Harnham - Data & Analytics Recruitment seeks a Full Stack AI Engineer on a contract basis. Must have SC Clearance, work fully remote in the UK, and operate outside IR35. Immediate start with day-rate £500–£550.

You will design and develop full-stack AI apps, build interfaces and APIs, deploy LLM-powered solutions, and manage data stores. Experience with Docker and cloud platforms like Azure or GCP is valued.