WHO YOU’LL WORK WITH
At Nike, we leverage the power of AI and Data to serve athletes* around the world. The AI Platform team is at the forefront of this mission—building scalable, secure, and intelligent Agentic AI platforms and services that power decision-making and personalized experiences across the Nike ecosystem.
WHO WE ARE LOOKING FOR
We are looking for an experienced AI/ML engineer with a passion for building robust and scalable AI platforms. You thrive in a fast-paced, cooperative environment and have a proven track record of delivering high-quality software with Agentic first design as focus
5+ years of experience in software development, with a strong foundation in distributed systems, AI-native architectures, and data platforms.
Experience with various stages of software development, including design, development, testing, and deployment.
Robust programming skills in Python, TypeScript, Java, Go, or Scala
Deep expertise with ML platforms like AWS SageMaker or Bedrock, Azure ML, or GCP.
Hands-on experience with Databricks, Snowflake, AWS RDS, Azure SQL,
or GCP Cloud SQL, Apache Spark and Apache Airflow.
Strong understanding of Agentic AI architecture, LLMs, LLM Orchestration like LangGrapg or LangChain, Agent Eval, AI governance frameworks, and up-to-date RAG pipelines, Model Context Protocol (MCP)
A solid familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications
Proven ability to deliver high-impact, API-first services at scale.
Proficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud infrastructure programmatically, ensuring consistency, and enabling automation.
Expertise with AI native development like Claude Code or Cursor.ai or similar tools
Testing & Quality Standards: Test-driven development (TDD) mindset with hands-on experience in pytest, Cypress, or equivalent frameworks. Maintains high test coverage and uses static analysis tools (linters, typ
📌 Senior Software Engineer, Itc Bengaluru (India)
🏢 Nike
📍 India