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Lead AI Engineer at The Granite Group
england, Cornwall - England, United Kingdom -
Full Time

Start Date

Immediate

Expiry Date

12 Jan, 27

Salary

60000.0

Posted On

15 Oct, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Services

Description
  • Strong hands-on experience in Generative AI, Agentic AI and Large Language Model (LLM) implementations.
  • Proven experience with Google Gemini and open-source LLM ecosystems.
  • Advanced Python development skills and experience building enterprise-grade applications.
  • Strong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
  • Understanding of Agent Development Kits (ADK), Model Context Protocol (MCP) and AI orchestration frameworks.
  • Experience developing REST APIs, microservices and distributed applications.
  • Hands-on experience with Google Cloud Platform (GCP) and cloud-native architectures.
  • Strong understanding of MLOps, CI/CD pipelines, model lifecycle management and deployment automation.
  • Experience with Docker, Kubernetes and container orchestration.
  • Excellent problem-solving, communication and stakeholder management skills, with the ability to translate business requirements into technical solutions.


  • Desirable ExperienceExperience within banking, financial services, insurance or other regulated industries.
  • Experience with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI or Semantic Kernel.
  • Familiarity with vector databases such as Pinecone, Weaviate, ChromaDB or pgVector.
  • Knowledge of AI governance, Responsible AI, compliance and model risk management.
  • Experience with prompt engineering, AI guardrails, LLM security and evaluation techniques.
  • Experience implementing observability and monitoring for AI platforms and production workloads.
  • Understanding of event-driven architectures, messaging platforms and enterprise integration patterns.
  • Exposure to data engineering, enterprise data platforms and feature stores.
  • Experience leading technical design discussions and collaborating across multidisciplinary engineering teams.
  • Relevant Google Cloud, Generative AI, machine learning or Kubernetes certifications.

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Responsibilities