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    Home/Jobs/Senior Software Engineer -AIML

    Senior Software Engineer -AIML

    Nike, Inc.

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

    Skills Required

    LLM
    Agentic AI architecture
    LLM Orchestration
    LangChain
    RAG
    Claude Code
    LangGraph
    Agent Eval
    AI governance frameworks
    Model Context Protocol (MCP)
    Cursor.ai
    Python
    TypeScript
    Java
    Go

    Description

    NIKE, Inc. is seeking a Senior Software Engineer with expertise in AI/ML to build scalable, secure, and intelligent Agentic AI platforms and services that enhance decision-making and personalized experiences.

    Company: NIKE, Inc.

    Role: Senior Software Engineer -AIML

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

    Experience:

    • 5+ years of experience in software development
    • Experience with distributed systems, AI-native architectures, and data platforms
    • Experience with software development stages including design, development, testing, and deployment
    • Experience guiding and supporting junior engineers
    • Proven track record working in Scrum or agile teams

    Key Skills:

    • Python
    • TypeScript
    • Java
    • Go
    • Scala
    • AWS SageMaker
    • Bedrock
    • Azure ML
    • GCP
    • Databricks
    • Snowflake
    • AWS RDS
    • Azure SQL
    • GCP Cloud SQL
    • Apache Spark
    • Apache Airflow
    • Agentic AI architecture
    • LLMs
    • LLM Orchestration
    • LangGraph
    • LangChain
    • Agent Eval
    • AI governance frameworks
    • RAG pipelines
    • Model Context Protocol (MCP)
    • Agentic workflow
    • AI/LLM powered enterprise applications
    • Terraform
    • AWS CloudFormation
    • Claude Code
    • Cursor.ai
    • pytest
    • Cypress
    • linters
    • type checkers
    • Git
    • Trunk-Based Development
    • GitFlow
    • Scrum
    • Agile
    • Functional programming

    Role Focus:

    • Design, develop, and maintain scalable and trusted AI platforms and services
    • Develop SDKs, APIs, and microservices to support enterprise-wide Agentic AI systems
    • Collaborate with cross-functional teams including product managers and engineers
    • Implement best practices in software development, data governance, and platform observability
    • Develop agentic and AI/LLM powered enterprise applications
    • Participate in code reviews and provide feedback
    • Mentor junior engineers

    Additional responsibilities:

    • Translate technical investigations into actionable insights for product stakeholders
    • Produce documentation to enable team understanding without requiring follow-up spikes
    • Maintain high test coverage and ensure code quality and maintainability
    • Ship incremental working software balancing engineering rigor with timely solutions

    Nice to have:

    • Proficiency in modern JavaScript frameworks (Vue.js, React, Angular)
    • Experience with CSS preprocessors (SCSS/SASS)
    • Experience with component-based architecture and responsive design principles
    • Experience with MLOps technologies and frameworks
    • Proven experience building AI Platforms or Agentic AI based enterprise applications and systems
    • Experience building and designing scalable Distributed Systems with RDBMS or NoSQL databases

    Other:

    • NIKE offers a 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.

    Python for Everybody Specialization

    Coursera

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

    Generative AI with Large Language Models

    Coursera

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

    Python 3 Programming Specialization

    Coursera

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

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