WHO YOU’LL WORK WITH

At Nike, we leverage the power of data and technology to serve athletes* around
the world. The Data & AI (DAI) team is at the forefront of this mission—building
scalable, secure, and intelligent platforms that power decision-making and
personalized experiences across the Nike ecosystem.

WHO WE ARE LOOKING FOR

We are looking for an experienced software engineer with a passion for designing
and building robust data platforms and solutions. You thrive in a fast-paced,
collaborative workplace and have a proven track record of delivering scalable
and reliable software platforms and services.

SKILLSET REQUIRED
7+ years of experience in software development, with a strong foundation in
object oriented development, distributed systems, cloud-native architectures,
and data platforms.
Strong expertise in Agentic AI systems: generative AI, LLM orchestration,
prompt engineering, RAG patterns, and agentic architectures. You have built
and delivered AI-powered solutions, not just prototyped them.




Experience building agents using up-to-date frameworks and protocols (MCP, A2A,
LangGraph, CrewAI, or similar); you've gone beyond tutorials and built
something meaningful, whether in production, a significant internal project,
or a customer-facing PoC.
Understanding LLM production concerns: grounding, guardrails, AI Governance,
latency, cost optimization, and observability.
Familiarity with knowledge graphs, vector stores, relational databases, and
embedding pipelines.
Advanced knowledge of a major ML cloud platform (AWS SageMaker, Databricks,
Azure ML, GCP/ Google Vertex AI) and its ecosystem of services.
Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWS
CloudFormation.
Solid understanding of advanced data modeling techniques and modern data
warehouses.
Ability to design scalable, fault-tolerant, and maintainable distributed
systems.
A strong familiarity and development experiences with agentic workflow and
A

📌 Lead Software Engineer Bikkanahalli
🏢 Nike
📍 Bikkanahalli