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Salary
≈ $9.5k – $27k per year (Estimated)
Location
In office (Noida)
Seniority
Middle

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Oct 29, 2026.

Overview
Company
Impact
Profile match
HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.

Job Summary

We are seeking a highly motivated GenAI / Agentic AI Developer to join our AI Engineering team and build next-generation AI-powered solutions. The ideal candidate will have hands-on experience developing applications using Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and enterprise AI platforms. This role involves designing, developing, and deploying intelligent AI agents that can reason, plan, act, and integrate with enterprise systems to automate business processes and enhance user productivity.

Key Responsibilities

Design and develop enterprise-grade GenAI and Agentic AI applications.

Build autonomous and semi-autonomous AI agents capable of reasoning, planning, and executing complex workflows.

Develop Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources.

Integrate LLMs with internal systems, APIs, databases, and business applications.

Create multi-agent orchestration frameworks for complex business use cases.

Develop copilots, virtual assistants, and AI-powered decision-support systems.

Fine-tune prompts and optimize model performance, latency, and cost.

Build secure, scalable, and production-ready AI services and APIs.

Collaborate with product managers, architects, and domain experts to define AI solution roadmaps.

Evaluate emerging GenAI technologies and recommend their adoption.

Skill Requirements

GenAI & LLMs

Agentic AI

LangGraph

LangChain

CrewAI

Multi-Agent Systems

Agent Orchestration Frameworks

Tool Calling & Function Calling

RAG & Knowledge Systems

Retrieval-Augmented Generation (RAG)

Vector Databases

Embedding Models

Knowledge Graphs

Python (Mandatory)

FastAPI / Flask

Other Requirements

Prompt Engineering and Prompt Optimization.

Fine-tuning and model customization.

Model evaluation and benchmarking.

AI guardrails and responsible AI practices.

REST APIs

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