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AI Full Stack Engineer

Job in City Of London, Central London, Greater London, England, UK
Listing for: Harnham - Data & Analytics Recruitment
Full Time, Contract position
Listed on 2026-10-06
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Backend Developer
Salary/Wage Range or Industry Benchmark: 500 - 550 GBP Daily GBP 500.00 550.00 DAY
Job Description & How to Apply Below
Full Stack AI Engineer (Contract)

MUST HAVE: SC Clearance

£500 - £550 Per Day

Outside IR35

Immediate Start

Fully Remote

The Company

They are a specialist technology organisation delivering AI, software engineering, and data solutions within secure and complex environments. Their work focuses on solving challenging technical problems using modern machine learning and cloud technologies. The team combines deep engineering expertise with a strong focus on innovation, deploying solutions that operate at scale in mission-critical settings.

The Role and Deliverables
  • Design and develop full stack AI applications using Python and Type Script.
  • Build and enhance frontend interfaces, backend services, APIs, and application architectures.
  • Develop and deploy LLM-powered solutions, including RAG pipelines and agentic AI applications.
  • Integrate and manage SQL and No

    SQL data stores, ensuring effective data modelling and system performance.
  • Implement vector databases, semantic search capabilities, and knowledge graph solutions.
  • Take AI products from proof of concept through to production‑ready deployment, including secure infrastructure and containerised environments.
Your Skills & Experience
  • Strong experience as a Full Stack AI Engineer or in a similar AI‑focused software engineering role.
  • Advanced capability with Python and Type Script across frontend and backend development.
  • Hands‑on experience with LLMs, RAG architectures, agentic AI, and modern AI frameworks.
  • Strong knowledge of APIs, system integration, application architecture, and database technologies.
  • Experience using Docker and deploying AI solutions within cloud environments such as Azure or GCP.
  • Knowledge of vector databases, semantic search, and knowledge graph technologies.
  • Experience deploying AI systems within secure or restricted environments is highly advantageous.
  • Exposure to defence, government, national security, or similarly regulated sectors is beneficial.
  • Active or previously held security clearance is advantageous.
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