HCLTech Fresher Recruitment | Campus-Trainee (Generative AI Platform Engineer)

HCLTech is hiring for the Campus-Trainee (Platform Engineer) position in Noida. This opportunity is specifically designed for strong Tier-1 fresh graduates or candidates with 0-1 years of experience who are passionate about generative AI, intelligent automation, and building scalable platforms.

As a trainee, you will gain hands-on experience in building robust, production-ready solutions, optimizing AI pipelines, and implementing state-of-the-art LLMs and multimodal models to solve real-world enterprise challenges.

Job Details

Company: HCLTech

Official Job Title: Campus-Trainee (Platform Engineer)

Employment Type: Full Time

Location: Noida, Uttar Pradesh, India

Experience Required: Tier-1 Fresh Graduates / 0 - 1 Years Experience

About the Role

HCLTech is looking for a passionate Campus-Trainee to join as a Platform Engineer. You will focus on building robust, production-ready solutions that solve real-world problems in intelligent automation, enterprise AI, and smart applications.

This role requires a deep combination of generative AI techniques (foundational model fine-tuning and prompt engineering) along with strong software engineering skills to automate, optimize, and integrate LLM and multimodal AI pipelines into highly scalable platforms.

Key Responsibilities & Your Impact

As a Campus-Trainee at HCLTech, your day-to-day impact will include:

• Developing, integrating, and optimizing end-to-end generative AI pipelines from data ingestion to model inference.
• Implementing and fine-tuning LLMs and multimodal models for tasks like text generation, RAG, and conversational AI.
• Building and maintaining automated training and evaluation pipelines (LLMOps/MLOps) for deploying across cloud and edge environments.
• Collaborating with platform engineers to optimize generative AI models for latency and throughput (using vLLM, TensorRT-LLM, ONNX Runtime, etc.).
• Creating robust logic for complex AI workflow orchestration, chaining multiple model calls, and filtering hallucinations.
• Developing tools for dataset and prompt management, synthetic data generation, and continuous evaluation loops.
• Troubleshooting generative AI performance issues like latency spikes and context limitations.
• Documenting AI pipeline architecture, model interfaces, evaluation benchmarks, and deployment guides.

Desired Skills & Competencies

Candidates should meet the following technical requirements:

• Strong programming skills in Python (C++ is optional) with a focus on writing efficient, modular code.
• Solid understanding of Generative AI and NLP fundamentals (tokenization, attention mechanisms, vector similarity).
• Proficiency with core AI/ML libraries and frameworks (HuggingFace Transformers, LangChain/LlamaIndex, PyTorch/TensorFlow).
• Hands-on experience developing and evaluating generative AI models, including LLM architectures (GPT, LLaMA, Mistral, Gemma) and fine-tuning techniques.
• Familiarity with data inference concepts (token limits, vector databases like Pinecone/FAISS, API-based model serving).
• Understanding of software engineering basics (Git, unit testing, debugging, CI/CD integration).
• Strong analytical skills to evaluate AI performance using BLEU, ROUGE, latency metrics, and resource usage.

Learning Opportunities

• Deep exposure to cutting-edge GenAI architectures and foundational models.
• Hands-on practice building enterprise-grade scalable AI platforms.
• Mentorship in LLMOps/MLOps, prompt engineering, and complex workflow orchestration.
• Opportunities to troubleshoot and optimize AI systems under diverse real-world conditions.

Who Should Apply?

• Tier-1 engineering fresh graduates or individuals with 0-1 years of experience.
• Candidates passionate about deep learning, LLMs, and Python programming.
• Aspiring Platform Engineers eager to integrate AI into real-world applications.
• Individuals open to working out of the Noida, Uttar Pradesh office.

How to Apply

Interested and eligible candidates can apply for the HCLTech Campus-Trainee position through the official career application page.

👉 CLICK HERE TO APPLY : 

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

Frequently Asked Questions (FAQs)

1. What is the official role title at HCLTech?

The official title is Campus-Trainee (Platform Engineer).

2. What is the experience requirement?

The role is designed for Tier-1 fresh graduates or candidates with 0-1 years of experience.

3. Where is this position located?

The position is based in Noida, Uttar Pradesh, India.

4. What are the key focus areas for this role?

The role heavily focuses on generative AI, foundational model fine-tuning, prompt engineering, and software engineering for LLMOps/MLOps.

5. What programming languages are required?

Strong programming skills in Python are required. C++ is considered optional but beneficial.

6. Do I need experience with AI frameworks?

Yes, proficiency with core AI/ML libraries like HuggingFace Transformers, LangChain, PyTorch, or TensorFlow is required.

7. Are there any specific LLMs I should be familiar with?

Familiarity with architectures like GPT, LLaMA, Mistral, and Gemma is highly desired.

8. Will I be involved in deployment?

Yes, you will help build automated evaluation pipelines and deploy models across cloud and edge environments.

9. Why should I join HCLTech?

HCLTech is a global technology company that puts its people first, offering a collaborative environment to supercharge your potential in AI and cloud engineering.

10. How can I apply?

You can apply directly on the HCLTech careers portal using the highlighted link above.

Disclaimer

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