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    Home/Jobs/AI Engineer

    AI Engineer

    Legal & General

    London
    3-5 years
    55 days ago
    ₹13–25 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    RAG
    Python
    Machine Learning
    Azure
    Kubernetes
    CI/CD pipelines
    MLOps

    Description

    We’re looking for an AI Engineer to join a collaborative engineering team where you’ll help design, build and run secure, reliable AI solutions that deliver real value for customers.

    Company: Legal & General

    Role: AI Engineer

    Location: Coleman St, London, UK; Hove, One City Park; Hybrid mode

    Experience:

    • Hands-on experience building and running AI or machine learning solutions in production
    • Experience with generative AI concepts such as LLMs, prompt engineering or RAG pipelines
    • Experience with CI/CD, MLOps or GenAIOps practices
    • Familiarity with containerisation and Kubernetes-based deployments

    Role Focus: • Designing and building production-ready AI and machine learning solutions on Azure • Developing and maintaining Python services, APIs and data pipelines • Implementing and improving generative AI solutions including LLMs and RAG architectures • Contributing to CI/CD pipelines, model lifecycle management and operational monitoring • Deploying and supporting containerised AI services using Kubernetes and AKS • Applying testing, security and governance best practices throughout the development lifecycle • Collaborating in agile teams, participating in code reviews and knowledge sharing • Continuously learning and contributing to improvements in platforms, tools and ways of working

    More skills:

    Azure AI services, GenAIOps, Containerisation

    Other:

    • Opportunity to participate in annual, performance-related bonus plan and valuable share schemes
    • Generous pension contribution
    • Life assurance
    • Healthcare Plan (permanent employees only)
    • At least 25 days holiday, plus public holidays, 26 days after 2 years’ service
    • Competitive family leave
    • Electric car scheme
    • Discounts on own products and at high street stores and online
    • Net-zero carbon workplaces by 2030
    • Flexible working options including part-time, term-time and job shares

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

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    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

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    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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