HCLTech Hiring Freshers – Campus Trainee | Generative AI & LLM | Noida

HCLTech Hiring Freshers – Campus Trainee | Generative AI & LLM | Noida

Ready to start your career in Generative AI and build real-world AI solutions? HCLTech is hiring strong Tier-1 fresh graduates for its Campus Trainee opportunity in Noida, Uttar Pradesh.

This role is designed for candidates with strong foundations in Generative AI, Large Language Models (LLMs), Python, NLP, prompt engineering, model fine-tuning, RAG, and AI application development.

Job Details

About the Role

The Campus Trainee role at HCLTech focuses on developing robust, production-ready solutions for intelligent automation, enterprise AI, and smart applications.

Candidates will work with Generative AI technologies and software engineering concepts to develop, integrate, optimize, and deploy LLM and multimodal AI pipelines.

The role is particularly suitable for fresh graduates who have practical project or internship experience in Generative AI, LLMs, NLP, Python, RAG, fine-tuning, and AI application development.

Key Responsibilities

As a Campus Trainee, you may work on:

• Developing and integrating end-to-end Generative AI pipelines.

• Working on data ingestion, preprocessing, model inference, output processing, and metadata generation.

• Implementing and fine-tuning LLMs and multimodal models.

• Working on applications such as:

  • Text generation

  • Summarization

  • Retrieval-Augmented Generation (RAG)

  • Document understanding

  • Code generation

  • Conversational AI

• Building automated training and evaluation pipelines using LLMOps/MLOps concepts.

• Supporting model benchmarking, prompt versioning, and deployment.

• Optimizing AI models for latency and throughput.

• Working with technologies such as vLLM, TensorRT-LLM, ONNX Runtime, and quantization frameworks.

• Building AI workflow orchestration involving multiple model calls, business rules, context management, and output filtering.

• Developing tools for dataset and prompt management.

• Supporting data curation, quality checks, synthetic data generation, and evaluation processes.

• Troubleshooting Generative AI performance issues.

• Working on prompt engineering, fine-tuning, and architectural improvements.

• Documenting AI pipeline architecture, model interfaces, evaluation benchmarks, and deployment processes.

Required Technical Skills

Candidates should have strong knowledge in the following areas:

Programming

• Strong Python programming skills.

• C++ knowledge is optional.

• Ability to write efficient and modular code.

Generative AI & NLP

• Generative AI fundamentals.

• NLP fundamentals.

• Tokenization.

• Attention mechanisms.

• Transformer architectures.

• Embedding spaces.

• Prompt design principles.

AI/ML Frameworks

• Hugging Face Transformers.

• LangChain or LlamaIndex.

• NumPy.

• PyTorch or TensorFlow.

• Experience applying these technologies to Generative AI tasks.

LLM & Generative AI Experience

Hands-on experience through projects or internships is expected in areas such as:

• LLM architectures including GPT, LLaMA, Mistral, or Gemma.

• Fine-tuning techniques such as:

  • LoRA

  • QLoRA

  • Instruction tuning

• RAG pipeline development.

• Generative AI model evaluation.

Data & AI Infrastructure Skills

Knowledge of the following concepts is also relevant:

• Token limits.

• Context window management.

• Streaming inference.

• Vector databases such as:

  • Pinecone

  • Weaviate

  • FAISS

  • pgvector

• API-based model serving.

• AI pipeline integration.

Software Engineering Skills

Candidates should also understand basic software engineering practices, including:

• Git / Version Control

• Unit testing.

• Debugging.

• Software integration.

• Integrating AI pipelines into larger applications.

Generative AI Performance Evaluation

The role also involves evaluating Generative AI performance using metrics and measurements such as:

• BLEU

• ROUGE

• METEOR

• BERTScore

• Hallucination rates

• Latency

• TTFT (Time to First Token)

• TPS (Tokens Per Second)

• CPU/GPU/RAM/VRAM resource usage

Who Can Apply?

This opportunity is mainly suitable for strong fresh graduates with a practical background in Generative AI and software engineering.

You can consider applying if you are:

• A fresh graduate or have 0–1 year of experience.

• From a strong Tier-1 academic background.

• Strong in Python programming.

• Interested in Generative AI and LLM technologies.

• Familiar with NLP and Transformer architectures.

• Experienced with Generative AI projects or internships.

• Familiar with RAG or LLM fine-tuning.

• Interested in building production-ready AI applications.

• Comfortable with software development, Git, testing, and debugging.

What Makes This Role Different?

This is not limited to basic AI/ML learning. The role combines Generative AI + LLMs + Software Engineering + AI Infrastructure + Production AI Applications.

Candidates can work across areas such as:

Generative AI → LLMs → RAG → Fine-Tuning → AI Pipelines → LLMOps/MLOps → AI Evaluation → Production Deployment

About HCLTech

HCLTech is a global technology company operating across digital, engineering, cloud, and AI.

According to the official listing, HCLTech has more than 223,000 people across 60 countries and works with clients across multiple industries.

The company focuses on technology services and products across areas including digital transformation, engineering, cloud, and artificial intelligence.

Job Location

Noida, Uttar Pradesh, India

Salary / Stipend

The official HCLTech job listing provided for this Campus Trainee opportunity does not mention a salary or stipend amount.

Therefore, no salary figure has been added without official confirmation.

How to Apply

Interested and eligible candidates can apply through the official HCLTech careers portal.

Apply Now:
https://careers.hcltech.com/job/Campus-Trainee/171242-en_US 

Frequently Asked Questions

1. Who can apply for the HCLTech Campus Trainee role?
The role is designed for strong Tier-1 fresh graduates and candidates with 0–1 year of experience who have relevant Generative AI and software engineering skills.

2. Where is the job located?
The position is based in Noida, Uttar Pradesh.

3. What is the main technology focus of this role?
The role focuses heavily on Generative AI, LLMs, NLP, RAG, fine-tuning, AI pipelines, and intelligent automation.

4. Is Python required?
Yes. Strong programming skills in Python are specifically mentioned in the official listing.

5. Is project or internship experience required?
The listing mentions hands-on experience through projects or internships involving Generative AI models and related technologies.

6. What LLM technologies can candidates have experience with?
The listing mentions LLM architectures such as GPT, LLaMA, Mistral, and Gemma.

7. Is RAG experience useful for this role?
Yes. Retrieval-Augmented Generation (RAG) is specifically mentioned among the Generative AI application areas.

8. Is the salary or stipend mentioned?
No. The provided official HCLTech listing does not specify a salary or stipend amount.

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Disclaimer

This information is publicly shared to help students and freshers. OkFreshers is not responsible for any outcomes related to applications, interviews, or job offers. Candidates are requested to verify all details, follow the official application process, and apply at their own discretion. All hiring decisions, processes, and status updates are solely managed by the respective hiring companies. No cost is involved in the recruitment process.