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Salary
≈ $26k – $57k per year (Estimated)
Location
In office (India)
Seniority
Staff · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 3, 2026. First seen by Alion on Sep 30, 2026.

Overview
Company
Impact
Profile match
Nike is a designer, marketer, and distributor of athletic footwear, apparel, equipment, and accessories for a wide variety of sports and fitness activities in addition to providing lifestyle products.

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.

  • 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 modern 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 powered enterprise applications.
  • Experience with UI/UX design principles and tools such as Figma or Adobe.
  • Knowledge of security best practices and experience implementing security measures in software development.
  • Strong collaboration and teamwork skills, with the ability to work effectively in a cross-functional team.
  • Excellent communication and stakeholder management skills.

WHAT YOU’LL WORK ON

  • 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 to improve productivity.
  • Optimize performance and cost-efficiency of ML workflows and compute layers.
  • Collaborate with stakeholders such as data scientists, business analysts, and product managers to understand and translate business requirements into technical solutions.
  • Lead the development and production of agentic and AI/LLM powered enterprise applications.
  • Collaborate with UI/UX designers to ensure the experiences are optimized for usability and performance.
  • Implement security best practices to protect data and ensure compliance with industry standards.
  • Develop and maintain automated tests to ensure the quality and reliability of the software.
  • Provide technical leadership and mentorship to junior engineers.
  • Ensure the uptime, reliability, and monitoring of the systems you build and own.
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