Job Title: Senior Analyst - Data Quality

Function: Digital Innovation & Technology

Location: Powai, Mumbai

Overview

This role demand strong GenAI experience, emerging mastery in Agentic AI Systems, and a valuable foundation in classical ML.

You will design and build intelligent, tool-using agents, multi-agent systems, RAG pipelines, and LLM-based applications leveraging the LangChain , LangGraph ecosystem, LangSmith for evaluation.

Key Responsibilities

GenAI / LLM Application Development
Build GenAI applications using:
LangChain and LangGraph
Implement RAG architectures with:
Retrieval, reranking, chunking, and memory strategies
Vector databases such as FAISS, Azure AI Search, OpenSearch, and pgvector
Design prompt-engineering strategies:
Instruction following
ReAct (Reasoning + Acting)
Chain-of-thought structuring
Self-reflection and planning loops
Evaluation strategy:
Implement evaluation frameworks for classical ML and GenAI systems, covering statistical validation, reliability, and robustness.
Assess LLM outputs, RAG pipelines, and agent workflows for grounding quality,



relevance, and retrieval accuracy, such as recall@k and precision@k.
Use LangSmith for tracing, automated evaluations, regression testing, and continuous system-level quality monitoring.
Agentic System Architecture
Build agentic workflows:
Tool-calling agents
Planner–executor systems
Multi-agent communication systems
Hierarchical agent architectures
Deep agents
Integrate memory systems:
Episodic memory
Semantic memory
Vector-based long-term knowledge
Implement evaluation frameworks for agentic systems using LangSmith.
Model Context Protocol (MCP) & Tooling
Implement MCP servers for external tool connectivity.
Build tools that allow agents to interact with:
APIs
Code-execution environments
Knowledge bases
Company applications
Classical ML (Foundational DS Skills)
Apply ML models to structured and unstructured data.
Conduct feature engineering, model selection, and hyperparameter tuning.
Build i

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