AI Full Stack Engineer at Randstad Technologies
London, London - England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

30 Dec, 26

Salary

65000.0

Posted On

01 Oct, 26

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Services

Description

Full job description

Job Overview

  • Role: AI Full Stack Engineer (AI & ML Engineer)
  • Location: Fenchurch Street, London
  • Duration: Oct 12, 2026 - Dec 15, 2026 (9 Weeks, 2 Days)
  • Hours: 40 hours/week
  • Rate: 291 PAYE / 388 Umbrella

Core Technical Stack

  • Programming & APIs: Python, RESTful API development, JSON Schema, Pydantic.
  • AI & LLMs: Gemini, OpenAI, Claude.
  • Frameworks & Orchestration: Google ADK, LangChain, LangGraph.
  • Data & Search: AWS OpenSearch (Indexing and Vector embeddings - Highly emphasized), Database Architecture (Intermediate).
  • Infrastructure: Public Cloud (GCP, AWS, or Azure), containerization, CI/CD pipelines.

Key Responsibilities

  • Agentic Systems: Build multi-agent, stateful, and asynchronous workflows.
  • LLM Management: Handle prompt engineering, context/memory management, hallucination controls, guardrails, and fallback logic.
  • Observability: Implement tracing and evaluation frameworks, specifically utilizing LLM-as-a-Judge patterns.
  • Backend Engineering: Develop secure Python APIs and maintain strong testing and deployment disciplines.

If interested kindly email me your updated CV to .

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

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Responsibilities

Full job description

Job Overview

  • Role: AI Full Stack Engineer (AI & ML Engineer)
  • Location: Fenchurch Street, London
  • Duration: Oct 12, 2026 - Dec 15, 2026 (9 Weeks, 2 Days)
  • Hours: 40 hours/week
  • Rate: 291 PAYE / 388 Umbrella

Core Technical Stack

  • Programming & APIs: Python, RESTful API development, JSON Schema, Pydantic.
  • AI & LLMs: Gemini, OpenAI, Claude.
  • Frameworks & Orchestration: Google ADK, LangChain, LangGraph.
  • Data & Search: AWS OpenSearch (Indexing and Vector embeddings - Highly emphasized), Database Architecture (Intermediate).
  • Infrastructure: Public Cloud (GCP, AWS, or Azure), containerization, CI/CD pipelines.

Key Responsibilities

  • Agentic Systems: Build multi-agent, stateful, and asynchronous workflows.
  • LLM Management: Handle prompt engineering, context/memory management, hallucination controls, guardrails, and fallback logic.
  • Observability: Implement tracing and evaluation frameworks, specifically utilizing LLM-as-a-Judge patterns.
  • Backend Engineering: Develop secure Python APIs and maintain strong testing and deployment disciplines.

If interested kindly email me your updated CV to .

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

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