Platform 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:

You will join the Core Search & AI Platform team responsible for driving intelligent discovery across high-scale surfaces like Search, Minutes, Shopsy, and Cleartrip. We build low-latency, high-throughput model serving infrastructure and deep learning pipelines that execute sub-second inference at massive scale. Our focus is on systems engineering, memory optimization, and hardware acceleration (GPU/NPU)—pushing the boundaries of C++, CUDA, and specialized inference engines to power real-time AI across the entire ecosystem.

About the role:

We are seeking a Senior Systems / Platform Engineer (SDE 3) to build and optimize our high-throughput, low-latency AI Model Inference Infrastructure. In this role, you will focus on core model execution, serving platforms, and hardware acceleration to deliver sub-second response times across high-scale search and platform surfaces.

What You'll Work On:

• Architecting and tuning high-performance LLM model serving engines for sub-second latency under high QPS.
• Optimizing memory layout, KV-cache execution, continuous batching, and model quantization (FP8, AWQ).
• Embedding AI model inference directly into low-latency vector and hybrid search platforms.

What We Are Looking For:

• Must-Have: Strong hands-on C++ or high-performance Java/Rust engineering experience with deep system design fundamentals.
• Must-Have: Direct experience with inference servers and frameworks such as vLLM, Triton Inference Server, TensorRT, ONNX Runtime, or CUDA.
• Nice-to-Have: Background in embedding models into vector search engines (FAISS, Milvus, ScaNN) or custom NPU/GPU kernel optimization.
• 5-8 years experience is required.