AI Engineer 2 Full Time NEW

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