Bengaluru
About Flipkart
Flipkart is committed to the cause of transforming commerce in India through our investments in
made-in-India technology innovations, customer-centric features and constructs, a diverse category landscape and a world-class supply chain. With a customer base of over 350 million, product coverage of over 150 million across 80+ categories, focus on generating direct and indirect employment and a commitment to empowering generations of entrepreneurs and MSMEs and a sustainable growth strategy
– Flipkart is maximizing for our customers, stakeholders, and the planet at large!
Flipkart is a part of the Walmart-owned Flipkart Group, which also includes group companies Flipkart Health+, Myntra, and Cleartrip. The Group is also a majority shareholder in PhonePe, one of the leading payments Apps in India.
About the Team:
The AI Solutions Org is a new, high-velocity engineering unit at Flipkart with a singular mission: to
accelerate AI adoption across the entire company. Will operate as a "SWAT team" for AI - building
end-to-end solutions for business functions that lack engineering bandwidth, while also partnering with the core Data Science team to optimize and scale state-of-the-art models (FK LLMs, Open Source, commercial).
About the role:
The "AI-Native" DNA
This is not a traditional software engineering role. We believe the future of coding is AI-assisted. You are expected to be an AI-Native Engineer:
● You don't just write code; you orchestrate it. You leverage tools like GitHub Copilot, Cursor,
and LLMs to write code, generate test cases, debug, and perform RCAs at 10x speed.
● You are Full-Stack + AI. You are comfortable setting up a backend API, building a quick UI, and
engineering a complex RAG pipeline in the same sprint.
You are responsible for:
● Focus: Architecture, Strategy & Complex Solutions
● What you’ll do:
○ Architect complex Agentic Systems (multi-agent orchestration, planning, memory
management).
○ Drive the Distillation Strategy: Lead efforts to convert massive models into smaller,
task-specific models for cost efficiency.
○ Define best practices for "AI-Native Development" across the org.
○ Act as a technical liaison between Business Leaders and Engineering.
○ Design end-to-end architecture for mid-sized AI applications.
○ Mentor Grade 8/9/10 engineers on AI-native workflows.
You should have:
● Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline.
● 7-10 years exp. Deep expertise in Distributed Systems & NLP.
● Experience deploying LLMs at scale.
● Strong communication and analytical skills