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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: Implementation Depth System Design & Optimization.
What you’ll 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:
● Bachelor’s or Master’s 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