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    Home/Jobs/Lead Software Engineer - AIML, ITC

    Lead Software Engineer - AIML, ITC

    Nike, Inc.

    Karnataka
    7+ years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    Agentic AI
    Gen AI
    Prompt Engineering
    LangGraph
    CrewAI
    AWS SageMaker
    Databricks
    Azure ML
    GCP/ Google Vertex AI
    Terraform

    Description

    NIKE, Inc. is looking for a Lead Software Engineer - AIML, ITC to design, build, and deploy scalable and reliable Agentic AI and software platforms and services.

    Company: NIKE, Inc.

    Role: Lead Software Engineer - AIML, ITC

    Location: 4/F, WeWork, Embassy GolfLinks, Karnataka, Karnātaka 560093, India

    Experience:

    • 7+ years of experience in software development
    • Experience building agents using modern frameworks and protocols
    • Understanding LLM production concerns

    Key Skills:

    • Agentic AI systems
    • Generative AI
    • LLM orchestration
    • Prompt engineering
    • RAG patterns
    • Agentic architectures
    • MCP
    • A2A
    • LangGraph
    • CrewAI
    • Knowledge graphs
    • Vector stores
    • Relational databases
    • Embedding pipelines
    • Major ML cloud platform
    • Infrastructure as Code tools
    • Terraform
    • AWS CloudFormation
    • Advanced data modeling techniques
    • Modern data warehouses
    • Distributed systems
    • UI/UX design principles
    • Figma
    • Adobe
    • Security best practices

    Role Focus:

    • Design, build, deploy, and own complete, scalable, and reliable Agentic AI and software platforms and services
    • Lead the technical design of new ML pipelines, Agentic AI services, and systems
    • Build reusable frameworks, libraries, and data management tools
    • Optimize performance and cost-efficiency of ML workflows
    • Collaborate with stakeholders to understand and translate business requirements
    • Lead the development and production of agentic and AI/LLM powered enterprise applications
    • Collaborate with UI/UX designers
    • Implement security best practices
    • Develop and maintain automated tests
    • Provide technical leadership and mentorship to junior engineers
    • Ensure the uptime, reliability, and monitoring of the systems

    Other:

    • Generous total rewards package
    • Casual work environment
    • Diverse and inclusive culture
    • Electric atmosphere for professional development
    • Equal opportunity employer

    Prepare for this role

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

    Generative AI with Large Language Models

    Coursera

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

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

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