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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: Architecture, Strategy & Complex Solutions
● What you'll do:
○ Architect complex Agentic Systems (multi-agent orchestration, planning, memory management).
○ Drive the Distillation Strategy: Lead efforts to convert massive models into smaller, task-specific models for cost efficiency.
○ Define best practices for AI-Native Development across the org.
○ Act as a technical liaison between Business Leaders and Engineering.
○ Design end-to-end architecture for mid-sized AI applications.
○ Mentor Grade 8/9/10 engineers on AI-native workflows.
You should have:
● Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
● 7-10 years exp. Deep expertise in Distributed Systems & NLP.
● Experience deploying LLMs at scale.
● Strong communication and analytical skills
Job ID: 148663679
Skills:
Machine Learning, Tensorflow, Data Science, Nlp, Pytorch, Databricks, Python, AWS, Generative AI, Model Lifecycle Management, Vector Databases, GitHub Actions, Agentic AI, Embeddings, RAG Architecture, Transformers, Responsible AI, Monitoring
Skills:
containerization , Java, Bi Tools, Dimensional Modeling, Gcp, Azure, Python, AWS, RAG architecture, MCP servers, NLP frameworks, Go, cloud-native deployments, vector databases, context memory management, semantic graph technologies, graph RAG, chain-of-graph, observability, identity as core agentic AI features
Skills:
Machine Learning, cloud security, Api Development, PowerShell, Scalability, Nlp, High Availability, Azure Data Factory, Azure Functions, Databricks, Cosmos DB, Python, Azure DevOps, Azure ML Studio, Cognitive Services, Azure SQL Database, Model deployment using AKS, AI solution architecture, Deep Learning on Azure, Azure CLI, Microsoft Azure AI Platform
Skills:
Machine Learning, Tensorflow, Nlp, Pytorch, Docker, AWS, Gcp, Python Programming, Rest Apis, Azure, Vector search, Prompt engineering, Data preprocessing, Microservices architecture, Feature engineering, Embeddings, Inference workflows, Agent-based workflows, AI services APIs, RAG pipelines, Large Language Models, LangChain, LLMs, Elastic OpenSearch, FAISS, Embedding models, Tool integrations, Google ADK, Model evaluation
Skills:
Kotlin, Cursor, React, Typescript, Python, LangChain, embeddings, LLMs, Claude, industrial data, prompt engineering, AI ML Engineering, supply chain data, Knowledge Graph, Code Copilot
