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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:
Databases, Apis, Node, Kafka, Python, LangChain, CrewAI, execution pipelines, LLMs, AI agent workflows, event-driven systems, Go, LangGraph, AutoGen, orchestration layer, async processing, RAGs, agent reliability
Skills:
Hypothesis Testing, Microservices, cloud, Python, AWS, Apis, Gcp, Databricks, Azure, embeddings, vector databases, Pinecone, model observability, Statistical Modeling, evaluation frameworks, Async streaming architectures, LangChain, LLMs, Agents, prompt engineering, AutoGen, Gen AI, FAISS, RAG, feature engineering, Weaviate, LlamaIndex
Skills:
Ml, Nlp, Sql, Relational Databases, system reliability testing, LLM-powered applications, performance evaluation
Skills:
Computer Vision, Java, Software Architecture, Machine Learning, MLops, Python, Nlp, reinforcement learning, AI Architecture, Multimodal AI, R, Experimental Design, Cloud-native Engineering, Statistical Modeling, Generative AI
Skills:
tokenization , Pandas, Pyspark, Data Science, Python, Nlp, annotation workflows, ML data engineering, NLP pipelines, data labeling tools, instruction-tuning, data versioning tools, text processing, language model APIs, training data quality metrics
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