Flipkart
Website:
flipkart.com
Job details:
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.
Core Responsibilities (All Levels)
● Applied GenAI Development: Build production-grade applications using LLMs (GPT-4, Gemini,
Llama 3, FK-LLMs). Implement RAG (Retrieval Augmented Generation), Agentic workflows, and
tool-use patterns.
● End-to-End Engineering: Act as the primary engineering owner for non-tech stakeholders (e.g.,
automating Invoice processing for Finance). You will handle the full SDLC: Database design, API
development, UI integration, and Deployment.
● Model Optimization: Collaborate with Data Scientists to make AI feasible at scale. Work on
model distillation, quantization, fine-tuning, and inference optimization (e.g., vLLM, TGI).
● AI-First SDLC: actively use AI tools to automate code reviews, documentation, unit testing, and
integration testing.
You should have:
● Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline.
● 13+ years exp. Industry leader in Applied AI, Distributed Systems & NLP.
● Demonstrated success in transforming business processes via technology.
● Experience deploying LLMs at scale.
● Strong communication and analytical skills
Click on Apply to know more.