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 dont 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: Implementation DepthSystem Design & Optimization.
• ● What youll do:
• ○ Implement specific modules or features within an AI application under guidance.
• ○ Write clean, efficient code (Python/Java/Go) assisted by AI coding companions.
• ○ Build basic integrations with LLM APIs and prompt engineering.
• ○ Create unit tests and documentation using AI tools.
• ○ Own complete features of an AI tool (e.g., Build a chatbot interface for the HR policy document).
• ○ Set up basic RAG pipelines (Vector DBs, Embeddings).
• ○ Deploy services using internal platforms (MLP) or cloud-native tools (Docker/K8s).
• ○ Debug production issues using AI-driven root cause analysis.
• ○ Design end-to-end architecture for mid-sized AI applications.
• ○ Work on Model Optimization: Assist DS in basic fine-tuning jobs (LoRA/QLoRA) and optimize inference latency.
• ○ Evaluate and select the right model (Commercial vs. Open Source) for cost/performance trade-offs.
• ○ Mentor Grade 8/9 engineers on AI-native workflows.
• You should have:
• ● Bachelors or Masters degree in Computer Science, Engineering, or a related technical discipline. ● 3-6 years exp. Proven ability to ship ML/AI powered apps.
• ● Understanding of system design and ML serving infrastructure.
• ● Strong communication and analytical skills