Artificial Intelligence Engineer

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