HCLTech Hiring 2026: Analyst – Generative AI (Band E1) | Multi-City (Job ID 166721 / 167242)

Codingcircle; India; Remote; INR 400,000 - 800,000; Full time

Benefits offered by this job

Health Insurance

Group Term Life Insurance

Personal Accident Insurance

Upskilling academies

Job summary

HCLTech is hiring an Analyst – Generative AI (Band E1) across multiple cities in India. The role focuses on building production-grade AI agents, leveraging RAG frameworks and LangGraph/LangChain on AWS Bedrock, Azure OpenAI, and GCP Vertex AI.

Ideal candidates hold BE/BTech or MTech in CS/AI/ML, with 0–3 years of experience, Python proficiency, and project work in AI/ML or LLMs. Opportunity for mentorship and growth within the AI/ML Practice.

Qualifications

• B.E./B.Tech or M.Tech in CS/AI/ML/Data Science or related engineering fields.
• 0–3 years of experience; fresh graduates eligible.
• Strong Python for Generative AI use cases.
• Familiarity with NLP, DL, LLMs or image processing concepts.

Responsibilities

• Develop autonomous AI agents and orchestration pipelines using LangGraph and LangChain on cloud AI platforms.
• Translate business requirements into AI/ML tasks with cross-functional teams.
• Perform data collection, cleaning, tokenization, and preprocessing for model training and evaluation.
• Assist in fine-tuning, prompt engineering, and model optimization for scalability and low latency.
• Maintain technical documentation for AI pipelines, APIs, and benchmarks.

Skills

Python

NLP

Deep Learning

LLMs

Education

B.E./B.Tech or M.Tech in CS/AI/ML/Data Science

Tools

LangChain

LangGraph

AWS Bedrock

Azure OpenAI

GCP Vertex AI

Job description

HCLTech Hiring 2026: Analyst – Generative AI (Band E1) | Multi-City (Job ID 166721 / 167242)

HCLTech Bangalore Full-time Fresher Not Disclosed Posted 1 day ago

Company: HCL Technologies Limited (HCLTech)
Job Title: Analyst – Generative AI (Listed under Analyst – Support & Operations)
Job Requisition ID: 166721 / 167242
Corporate Band / Level: Band E1 (Entry-Level / Early Career Track)
Employment Type: Full-Time
Experience Level: 0 to 3 Years (Fresh Engineering Graduates Eligible)
Work Locations: Noida (Gautam Buddha Nagar, UP), Hyderabad, Chennai, Bengaluru, Pune, India

Company & Practice Overview

HCLTech is a global technology and IT services leader delivering enterprise software, cloud, and digital transformation solutions to global enterprises. Powered by its AI-first strategy and cloud ecosystem partnerships, HCLTech enables businesses to modernize applications and build autonomous enterprise workflows.

The Analyst – Generative AI position sits within HCLTech's central AI/ML Practice. Operating at Band E1, this role focuses on building production-grade AI agents, deploying Retrieval-Augmented Generation (RAG) frameworks, and leveraging orchestrators like LangGraph and LangChain on cloud AI platforms.

Key Responsibilities & Daily Operations

• AI Agent & Workflow Engineering: Develop autonomous AI agents and orchestration pipelines using LangGraph, LangChain, and Python on major cloud AI platforms (AWS Bedrock, Azure OpenAI, GCP Vertex AI).
• Business Logic Translation: Collaborate with cross-functional technical teams to translate business requirements into actionable AI/ML tasks.
• Data Processing & Preprocessing: Perform data collection, cleaning, tokenization, and preprocessing across structured and unstructured datasets for model training, evaluation, and vector indexing.
• Model Optimization & Fine-Tuning: Assist in fine-tuning, prompt engineering, and optimizing Generative AI models for scalability, low latency, and response accuracy.
• Continuous Learning & Technical Mentorship: Receive guidance and active mentorship from senior AI architects while staying up to date with emerging LLM frameworks.
• Project Documentation: Maintain comprehensive technical documentation for AI pipelines, prompt libraries, API specs, and model evaluation benchmarks.

Minimum Eligibility & Qualification Criteria

Academic Background

• Degree: Bachelor of Engineering (B.E. / B.Tech) or Master of Technology (M.Tech) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, ECE, or related engineering streams.

Mandatory Technical Skills

• Experience Level: 0 to 3 years of experience (Fresh Engineering Graduates with strong project exposure are eligible).
• Programming Proficiency: Strong knowledge of Python programming tailored for Generative AI use cases.
• Hands-on AI/ML Projects: Demonstrated experience through academic, internship, or self-initiated projects involving AI/ML algorithms or LLM-based applications.
• Core Concepts: Familiarity with NLP, Deep Learning, Large Language Models (LLMs), or image processing/segmentation techniques.

Preferred Skills

• Hands-on exposure to LangChain, LangGraph, vector databases (ChromaDB, Pinecone), and prompt engineering libraries.
• Basic understanding of MLOps pipelines, RESTful API development, and data engineering in Python (pandas, numpy).

Compensation & Employee Benefits

• Estimated Starting Salary: ₹4.0 LPA to ₹8.0 LPA (CTC) for Band E1 hires (depending on academic tier, Python proficiency, and LLM project evaluation).
• Direct hands-on mentorship from senior AI architects.
• Exposure to cloud-native AI platforms (AWS, Azure, GCP).
• Comprehensive Health, Group Term Life, and Personal Accident Insurance.
• Access to internal upskilling academies and AI certifications.

Selection Workflow & Interview Steps

1. Profile Shortlisting & Resume Screening (Job ID: 166721 / 167242) (Verification of B.E./B.Tech degree, Python proficiency, & AI/ML project links)
2. Online Technical & Coding Assessment (Evaluation of Python programming logic, data structures, SQL basics, & AI/ML fundamentals)
3. Technical Interview Round 1 (Python, LLMs & LangChain) (Deep dive into Python data handling, RAG architecture, LangChain/LangGraph concepts, & project code review)
4. Technical Interview Round 2 (System Design & Cloud AI) (Questions on prompt engineering, vector embeddings, fine-tuning, & model evaluation metrics)
5. HR & Management Round (Verification of documents, location allocation, Band E1 offer discussion, & onboarding timeline)

Essential Technical Topics to Prepare

• Generative AI & Agent Frameworks: Understanding LangChain components (Chains, Agents, Memory, Tools) and LangGraph stateful multi-agent workflows.
• RAG & Vector Search: Vector embeddings, chunking strategies, cosine similarity, vector databases, and handling LLM hallucinations.
• Core Python & Data Science: Object-Oriented Programming in Python, asynchronous functions, pandas data processing, REST APIs (FastAPI / Flask), and token management.

Core Resume Keywords for ATS Optimization

• AI & Agentic Workflows: Analyst Generative AI, LangGraph, LangChain, AI Agents, Large Language Models (LLMs), RAG Architecture, Prompt Engineering
• Programming & Libraries: Python, Data Preprocessing, Pandas, NumPy, Deep Learning, Natural Language Processing (NLP), Image Segmentation
• Cloud & Operations: Cloud AI Platforms, AWS Bedrock, Azure OpenAI, Vector Databases, Model Fine-Tuning, Technical Documentation
• HCLTech Specifics: Band E1, Job ID 166721, HCLTech AI Analyst, Support & Operations, Noida, Hyderabad, Chennai, Bangalore, Pune

Frequently Asked Questions (FAQs)

1. What is the official job title and Band for this HCLTech opening?

The role is titled Analyst – Generative AI (listed in the recruitment portal as Analyst – Support & Operations) at Band E1.

2. Are fresh engineering graduates eligible to apply?

Yes. Fresh B.E./B.Tech graduates with 0 to 3 years of experience who have built AI/ML or LLM projects during college or internships are eligible.

3. Which cities are listed for this role?

The posting covers Noida (Gautam Buddha Nagar, UP), Hyderabad, Chennai, Bengaluru, and Pune.

4. What are the key tools required for the role?

The role emphasizes proficiency in Python, LangChain, LangGraph, and cloud AI platforms.