16 Aug
|
Nike
|
Bengaluru
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 environment 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.
- Strong 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 AI/LLM powe
📌 Lead Software Engineer (Bengaluru)
🏢 Nike
📍 Bengaluru