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    Home/Jobs/Senior AI Engineer

    Senior AI Engineer

    Cognizant

    United Kingdom
    5-8 years
    Today
    ₹25–44 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    LLM orchestration
    RAG
    Prompt Engineering
    LLM evaluation workflows
    LangChain
    Vector Database
    Python
    Flask
    FastAPI
    Django
    REST API
    API design
    Microsoft cloud ecosystem
    Serverless architectures

    Description

    We are looking for a highly skilled Senior AI Engineer to work on the architecture, development, and productionisation of intelligent AI solutions.

    Company: Cognizant

    Role: Senior AI Engineer

    Location: London, England, United Kingdom (Hybrid, 3 days per week on-site)

    Experience:

    • Hands-on experience with Python frameworks such as Flask, FastAPI, or Django
    • Proven experience building and maintaining RESTful APIs
    • Python proficiency, LLM orchestration (RAG), and hands-on experience designing end-to-end intelligent applications using Microsoft's cloud ecosystem
    • Experience with GitHub Actions, Jenkins, or other pipeline automation tools
    • Experience with LangChain, LangGraph and Vector databases

    Key Skills:

    • Python
    • LLM orchestration
    • API design
    • Serverless architectures
    • Event-driven design
    • Model orchestration
    • Prompt engineering
    • LLM evaluation workflows
    • CI/CD
    • Git-based workflow

    Qualification:

    • Degree in Computer Science, Software Engineering, or related field — or equivalent experience

    Role Focus:

    • Analyse and interpret eval results, logs and traces from a live AI product
    • Develop and maintain Python microservices, Azure functions, Python packages and REST APIs
    • Build and maintain Lambda functions, Step Functions, and LLM agents to orchestrate workflows
    • Work with DevOps engineers on day-to-day development, deployment, and operational support
    • Contribute to CI/CD pipelines and deployment automation using GitHub Actions
    • Manage artifacts, enforce branch strategies, and utilize Maven and Nexus for release-to-live (RTL) development, including versioning, dependencies, and packaging standards
    • Participate in code reviews and maintain documentation for backend services

    Nice to have:

    • GenAI exposure

    Prepare for this role

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

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

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

    Generative AI with Large Language Models

    Coursera

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

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