HCLTech: Analyst – Generative AI

Job Description

HCLTech is offering an opportunity for aspiring technology professionals to work as an Analyst – Generative AI, focusing on the development and implementation of AI-powered applications. This position is suitable for engineering graduates and early-career candidates with strong Python programming skills and practical exposure to artificial intelligence or machine learning projects. The role involves developing AI agents using technologies such as LangGraph and LangChain, working with cloud-based AI platforms, and supporting the development of applications powered by large language models (LLMs). Candidates will collaborate with experienced team members to understand business requirements, translate them into technical tasks, and contribute to solutions that address practical business challenges using modern Generative AI technologies.

The selected candidate will assist with the complete AI development lifecycle, including data collection, preprocessing, model evaluation, deployment support, and performance optimization. Depending on project requirements, the work may involve natural language processing, deep learning, large language models, image processing, or image segmentation. The analyst will help improve the performance, scalability, and reliability of AI models and agent-based applications while learning to apply suitable techniques to real-world use cases. Familiarity with Python data-processing libraries, AI/ML algorithms, and LLM-based applications will help candidates contribute more effectively. The position also provides opportunities to learn from senior engineers, explore emerging AI frameworks, and understand how intelligent applications are developed and maintained in professional technology environments.

This full-time opportunity is designed for candidates with approximately zero to three years of experience, including fresh graduates who have completed relevant academic, internship, or personal projects. HCLTech emphasizes continuous learning, collaboration, documentation, and innovation as part of the development process. The successful candidate will be expected to document project workflows, maintain technical records, communicate findings clearly, and stay informed about advancements in Generative AI and machine learning. Strong analytical thinking, adaptability, and a willingness to experiment with new technologies are important for success. The job listing identifies Noida, Hyderabad, Chennai, Bengaluru, and Pune as potential work locations, making it an opportunity for early-career engineers seeking to build practical experience in AI agent development and intelligent software solutions.

Roles & Responsibilities

1. Develop AI Agents: Build and enhance AI agents using Python, LangChain, and LangGraph to support intelligent workflows, automate tasks, and address business problems through Generative AI applications.
2. Understand Business Requirements: Collaborate with project teams and experienced engineers to understand business objectives, clarify functional requirements, and translate them into technical tasks and development activities.
3. Prepare and Process Data: Collect, clean, organize, and preprocess datasets required for AI/ML model development, ensuring that data is suitable for training, evaluation, experimentation, and deployment.
4. Support LLM Applications: Assist in developing applications powered by large language models, exploring appropriate prompting techniques, workflow orchestration, and integrations based on project requirements.
5. Evaluate AI Models: Participate in testing and evaluating AI/ML models by examining output quality, accuracy, consistency, and other relevant performance measures to help identify areas for improvement.
6. Optimize Model Performance: Assist senior team members in improving model efficiency, scalability, and reliability through experimentation, fine-tuning where applicable, and performance analysis.
7. Work with Cloud AI Platforms: Contribute to AI application development using cloud-based AI platforms and tools selected for the project, following established engineering and deployment practices.
8. Explore AI/ML Technologies: Keep up with developments in Generative AI, natural language processing, deep learning, LLMs, and related technologies, identifying useful approaches for ongoing projects.
9. Maintain Technical Documentation: Prepare and update project documentation covering data-processing steps, model evaluation, agent workflows, implementation details, testing activities, and relevant development procedures.
10. Collaborate and Learn: Work with senior engineers and other team members, seek guidance when needed, participate in knowledge-sharing activities, and apply feedback to strengthen technical skills.
11. Apply Problem-Solving Skills: Investigate development issues, analyze model outputs, troubleshoot Python code, and contribute to practical solutions that improve application functionality and quality.
12. Support Continuous Improvement: Help refine development workflows, testing approaches, and AI implementation practices while following team standards and maintaining a focus on reliable, maintainable solutions.

Requirements & Eligibility

1. Educational Qualification: An engineering degree is required according to the supplied job description. Fresh graduates may apply if they possess the relevant programming knowledge and practical project experience.
2. Experience Level: The position targets candidates with zero to three years of experience, including freshers. Relevant academic projects, internships, research work, and self-initiated AI/ML projects can demonstrate practical ability.
3. Python Programming: Strong knowledge of Python is essential, particularly for developing Generative AI applications, processing data, implementing algorithms, writing scripts, and building application logic.
4. AI/ML Project Experience: Hands-on exposure to AI/ML algorithms or LLM-based applications through college projects, internships, personal projects, or similar practical work is required.
5. Generative AI Fundamentals: Understanding of Generative AI concepts and familiarity with large language models, AI application workflows, and agent-based systems will help candidates contribute to project development.
6. LangChain and LangGraph: Familiarity with LangChain and LangGraph is highly relevant because the role specifically involves developing AI agents using these frameworks. Candidates should be prepared to explain any related projects they have completed.
7. Machine Learning Knowledge: Familiarity with machine learning or deep learning concepts is beneficial, including an understanding of model training, evaluation, performance measurement, and common development workflows.
8. NLP and Image Processing: Exposure to natural language processing, LLMs, image segmentation, or image-processing techniques is desirable. Candidates do not necessarily need expertise in every listed area.
9. Data Processing Skills: Understanding of data collection, cleaning, transformation, and preprocessing using Python is important for preparing datasets and supporting AI model development and evaluation.
10. Analytical and Problem-Solving Ability: Strong logical reasoning, debugging skills, and the ability to break complex technical problems into manageable steps are essential for working through AI development challenges.
11. Communication and Teamwork: Good communication skills and the ability to collaborate with colleagues, understand instructions, discuss technical issues, and contribute in a fast-paced team environment are expected.
12. Learning Mindset: Willingness to learn from senior engineers, explore emerging frameworks, accept feedback, document work, and adapt to evolving AI/ML technologies is important for early-career success.

Expected Salary

HCLTech has not specified the salary for this Analyst – Generative AI opening in the supplied job description. As a general estimate for an entry-level AI/ML or Generative AI engineering role in India, compensation may fall around ₹4 lakh–₹9 lakh per annum, depending on technical skills, project experience, hiring location, and the candidate's overall assessment. Candidates with strong Python skills and demonstrable projects involving LLMs, LangChain, or LangGraph may be better positioned for opportunities toward the higher end of the range. This is an indicative estimate, not a confirmed HCLTech salary offer.

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