Job Title

Lead LLM / Agentic AI Engineer – AI-Led Procurement Transformation

Location: Kolkata
Experience: 8+ Years
Project Duration: Approximately 6 Months
Budget: Up to ₹3 Lakh/month
Work Mode: Onsite / Client-facing
Travel: May be required
Cloud: AWS preferred/important
Technology Focus: 50% Classical ML / Statistical Modelling + 50% LLM / GenAI

Role Overview

We are looking for a highly experienced Lead LLM / Agentic AI Engineer to drive an AI-led transformation initiative for the Procurement function.

The objective is to build a Procurement Category Insights Engine that combines classical Machine Learning, statistical modelling and Generative AI to generate actionable business insights.

The ideal candidate must have strong hands-on experience building production-grade LLM and Agentic AI solutions, including Multi-Agent Orchestration, real-time data integration, external data sources and enterprise/ERP integrations.

This is not a basic chatbot or RAG development role. The candidate will be expected to design and build a proper end-to-end Agentic AI solution capable of generating insights and triggering actionable outcomes through a simplified user experience.

Key Responsibilities

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Lead the architecture and development of an enterprise-grade LLM/GenAI solution for procurement transformation.

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Design and implement Agentic AI solutions capable of reasoning, planning and executing multi-step business tasks.

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Build and orchestrate multiple AI agents to perform specialized procurement-related activities.

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Design Multi-Agent workflows and determine when agents should interact with tools, APIs, data sources and enterprise systems.

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Build a Procurement Category Insights Engine combining ML, statistical modelling and LLM capabilities.

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Integrate real-time and external data sources to enrich procurement insights.

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Integrate the AI solution with ERP and enterprise systems.

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Develop tool/API integrations that allow AI agents to retrieve information and perform approved business actions.

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Build actionable workflows where users can initiate business processes through a single-button / simplified action experience.

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Develop RAG-based solutions where required for enterprise knowledge and contextual understanding.

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Design prompt engineering strategies, agent instructions, evaluation mechanisms and AI guardrails.

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Implement LLM evaluation, monitoring and performance optimization.

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Collaborate with Data Scientists to incorporate classical ML and statistical models into the overall AI solution.

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Work with backend and frontend engineers to deliver a complete end-to-end application.

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Ensure solutions are scalable, secure, reliable and production-ready.

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Rapidly adapt the architecture and solution as business problem statements evolve.

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Lead technical discussions with client stakeholders and explain AI architecture and solution capabilities.

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Support testing, production deployment, documentation and final client handover.

Required Technical SkillsGenerative AI / LLM

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8+ years of overall software/AI engineering experience.

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Strong hands-on experience with LLMs and Generative AI.

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Experience building production-grade GenAI applications.

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Strong understanding of LLM architecture, prompting and model selection.

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Experience with commercial and/or open-source LLMs.

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Strong experience with RAG architectures.

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Experience with embeddings and vector databases.

Agentic AI

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Strong hands-on experience building Agentic AI solutions.

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Experience with Multi-Agent Orchestration.

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Experience with frameworks such as LangGraph, LangChain, AutoGen, CrewAI or equivalent.

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Experience designing agent workflows, state management and tool calling.

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Ability to build agents that interact with APIs, databases and enterprise systems.

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Experience implementing agent guardrails and evaluation mechanisms.

Enterprise Integration

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Experience integrating AI solutions with ERP systems and enterprise applications.

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Strong REST/API integration experience.

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Experience consuming external and real-time data sources.

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Experience building tool/API layers for AI agents.

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Understanding of enterprise security and access controls.

Machine Learning / Data Science

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Strong foundation in classical Machine Learning.

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Strong understanding of statistics and statistical modelling.

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Experience integrating predictive/ML models with GenAI applications.

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Experience with Python and common ML libraries.

Cloud & Engineering

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Solid Python programming skills.

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Strong software engineering and system-design fundamentals.

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Experience with AWS/cloud-based AI architectures.

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Experience with APIs, microservices and scalable backend systems.

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Understanding of CI/CD, containerization and production deployment.

Good to Have

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Procurement / Source-to-Pay / Supply Chain domain experience.

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Experience developing procurement analytics or category intelligence solutions.

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MCP / Model Context Protocol experience.

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Real-time event/data processing.

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AWS Bedrock or similar managed GenAI services.

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Kafka or other streaming technologies.

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LLM observability and evaluation platforms.

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Experience with enterprise ERP platforms such as SAP, Oracle or similar.

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Experience working in consulting or client-facing transformation projects.

Ideal Candidate

The ideal candidate should be a hands-on senior AI engineer/architect, not simply a prompt engineer or RAG developer.

The candidate should be capable of:

Business Problem → AI Architecture → Multi-Agent Solution → Enterprise Integration → Production Deployment → Client Handover

Technology Balance

50% – Classical ML / Modelling / Statistical Analytics

50% – LLM / Generative AI / Agentic AI

The LLM/Agentic AI component is particularly important for this role.

Candidates NOT to Prioritize

Do not prioritize candidates who have only:

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Basic ChatGPT/API integration experience.

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Simple RAG chatbot experience.

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Prompt engineering without software engineering.

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No Multi-Agent experience.

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No production GenAI implementation experience.

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No enterprise/API integration experience.

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Pure Data Science experience without hands-on GenAI engineering.

📌 LLM/Agentic AI Engineer (Kolkata)
🏢 Leading
📍 Kolkata