Senior AI Engineer
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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: 149600195
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:
snowflake , Machine Learning, Apache Spark, Sql, Devops, Nlp, MLops, Docker, Predictive Modeling, Python, AWS, agentic engineering tools, Polars, MLflow, reranking techniques, DuckDB, vector stores, LLM-powered applications, dbt, CI CD pipelines, Statistics, Palantir Foundry, LLM observability tooling
Skills:
Microservices, Tensorflow, Pytorch, Docker, Flask, Python, AWS, Apis, Gcp, FastAPI, Azure, Kubernetes, vector search, embeddings, AI orchestration frameworks, Hugging Face, MLflow, CI CD, Azure OpenAI, event-driven architecture, LangChain, LLMs, Scikit-learn, Anthropic, prompt engineering, RAG, OpenAI, LlamaIndex
Skills:
Nlp, MLops, Azure, Python, experiment tracking, API deployment, NLU, vector databases, container orchestration, GDPR compliance, model serving
Skills:
Yaml, Cloud Infra, Python, Rigor, Agent building, LLMs
