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    • Proven experience in prompt engineering and guardrails design.
    • Hybrid working available (a minimum of 3 days working from the office, 2 days working from home).
    • As part of the Assurance & Insight team, you will focus on designing, implementing and deploying LLM based solutions into production.
    • View all AECOM jobs - London jobs - AI Developer jobs in London
    • Salary Search: AI Engineer salaries in London
    • See popular questions & answers about AECOM
    • It is not a non-technical translator role or a prompt-only analyst role and you will be expected to have and demonstrate development experience and familiarity…
    • Strong expertise in prompt engineering, including optimisation, testing, evaluation, and guardrail design.
    • Working directly with clients, you will help solve…
    • Write reliable, maintainable prompts inside production systems, using structured outputs and tool/function calling to make behaviour predictable;
    • Mentor engineers, architects, and technical specialists on architecture best practices and modern design principles.
    • 28 days annual leave plus public holidays.
    • Hold the engineering bar through design and code review, and grow engineers into owning engagements themselves.
    • Forward Deployed Engineers lead delivery of their own engagements and mentor less experienced engineers, but do not line-manage.
    • Practical knowledge of AI and machine-learning concepts, including generative AI, retrieval-augmented generation, agentic systems, prompt design, evaluation and…
    • Hands-on expertise with LLMs, prompt engineering, RAG, vector databases and generative architectures.
    • Lead complex Generative AI and machine learning programmes…
    • Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance.
    • We are seeking a highly skilled and innovative Lead…
    • Worked with Microsoft 365 Copilot, understanding of the underlying technology, prompts, agents, implemented and governed.
    • Worked with Microsoft 365 Copilot, understanding of the underlying technology, prompts, agents, implemented and governed.
    • Proven experience as an AI developer or engineer, with a strong portfolio of delivered projects.
    • Experience building and orchestrating LLM agents, including…
    • Generative AI solution design, including foundation model selection, prompt engineering, retrieval-augmented generation, model evaluation, responsible AI…

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prompt engineering
AI Engineer - Contract Role
Newcastle upon Tyne NE1
•
Hybrid work
£585 - £600 a day
Fixed term contract, Full-time

Full job description

Salary: £585 - 600 per day
Reference: 116833

AI Engineer | Contract | Initial 3 Months | Newcastle (Hybrid) | £585-600/day Inside IR35


We have a new contract role for an AI Engineer to work on cutting-edge generative AI solutions leveraging Google Gemini and Google Cloud Platform.


This is a hybrid role with 3 days per week required on site in Newcastle.


Key Responsibilities:

  • Design and implement AI-driven solutions using Google Gemini and Vertex AI
  • Build and integrate generative AI models via APIs
  • Develop scalable backend systems in Python for data processing and model orchestration.
  • Implement RAG workflows and vector search for knowledge integration
  • Deploy solutions on Google Cloud Platform, ensuring security and compliance
  • Apply ML Ops best practices, including CI/CD pipelines, containerization (Docker/Kubernetes), and monitoring


Tech Stack:

  • Python
  • ML libraries: TensorFlow, PyTorch, LangChain
  • Cloud: Google Cloud Platform, Vertex AI, Gemini API
  • CI/CD with Docker/Kubernetes


Ideal Candidate

  • Strong background in Machine Learning, Generative AI, or Software Engineering
  • Hands-on experience with Google Gemini, Vertex AI, GCP services or AWS/Azure
  • Proven ability to integrate foundation models and build scalable AI systems
  • Excellent communication skills and ability to work in a collaborative, fast-paced environment
  • Bonus: Experience with prompt engineering, RAG pipelines, and taking POCs to production


Please apply directly, please note you must also be UK based.

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