Business Systems Analysis Analyst

4 days ago

Chennai, Tamil Nadu, India NTT DATA Full time ₹ 5,00,000 - ₹ 15,00,000 per year

Design, implement, and test agent workflows (planning, memory, tool use, retry/rollback) using frameworks such as LangGraph, LangChain, AutoGen, CrewAI or equivalent. Build tooling integrations (search/RAG over vector stores like FAISS/Pinecone, REST/GraphQL APIs, databases, web/email/calendar, ticketing systems). Create robust prompting (system/task prompts, tool schemas), plus evaluation harnesses (unit tests, golden sets, LLM-as-judge, offline/online evals). Add guardrails for safety, PII handling, and policy compliance; instrument observability & tracing (e.g., LangSmith, OpenTelemetry logs). Optimize cost/latency/reliability (caching, batching, function-calling, streaming, fallbacks). Package and deploy services (Docker, basic CI/CD; cloud on AWS/Azure/GCP with secrets management). Write concise tech docs and demo the work; support pilot rollouts and collect feedback. Well trained or ~0 to 6 months hands-on experience with LLMs/agents through projects, internship, client POCs, or formal training. Practical knowledge of at least one of: LangGraph/LangChain/AutoGen/CrewAI, and one of OpenAI/Anthropic/Google/Meta LLMs (function calling/tool use). Strong Python (or TypeScript/Node) fundamentals; working with REST APIs, JSON, and simple data pipelines. Experience implementing RAG: chunking, embeddings, vector search, relevance evaluation. Understanding of prompt engineering, evaluation, and basic guardrails/safety concepts. Git proficiency and clear documentation habits. Basic frontend for agent UIs (React) or chat surfaces (Teams/Slack). Cloud exposure (Azure OpenAI, AWS Bedrock, GCP Vertex), Docker, CI/CD. Observability (LangSmith, Phoenix, Weights & Biases) and cost monitoring. Data skills: SQL, pandas, lightweight ETL. Domain exposure (e.g., finance ops, customer support, procurement) to ground tools and workflows.

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