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    Home/Jobs/Software Engineer II - GenAI / LLM Engineer

    Software Engineer II - GenAI / LLM Engineer

    Blue Yonder

    Bengaluru
    2-5 years
    53 days ago
    ₹8–19 LPA
    Full-time
    Onsite

    Skills Required

    LangChain
    Azure OpenAI
    Retrieval-Augmented Generation (RAG)
    LLM
    Gen AI
    Python
    TypeScript
    JavaScript
    LangGraph
    Azure AI Search
    Azure AI
    Azure Machine Learning
    Azure Functions
    Azure Container Apps

    Description

    This is a full-stack AI engineering role with a strong focus on building intelligent, multi-agent applications that power supply chain automation at scale.

    Company: Blue Yonder

    Role: Software Engineer II - GenAI / LLM Engineer

    Location: Bangalore, Karnātaka, 560 103

    Experience:

    • 2–5 years of software engineering experience
    • 1–2 years focused on GenAI / LLM application development

    Role Focus: • Designs, builds, and maintains LLM-powered application components • Develops and optimizes Retrieval-Augmented Generation (RAG) pipelines • Builds and maintains multi-agent orchestration workflows • Implements context graph solutions • Designs and integrates Azure AI services • Participates actively in team ceremonies • Contributes to prompt engineering best practices • Understands how changes to GenAI components affect downstream agents • Incorporates information security, responsible AI, and data privacy considerations

    Additional responsibilities:

    • Identifies production issues with LLM agents and escalates to the team
    • Autonomously plans and performs routine changes to agent configurations
    • Independently resolves incidents within a defined set of GenAI service functions
    • Handles service requests related to agent onboarding, tool integration, and knowledge base updates

    More skills:

    TypeScript/JavaScript, RAG architecture, Azure AI ecosystem, Azure OpenAI Service, context graphs, knowledge graphs, graph-based retrieval, prompt engineering, system prompt design, few-shot prompting, chain-of-thought techniques, LLM evaluation strategies

    Other:

    • Full time

    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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