Agentic AI Engineer

HCL Technologies Limited; Dadri, Hyderabad, Bengaluru; On-site; INR 1,200,000 - 2,300,000; Full time

Job summary

HCL Technologies Limited seeks an Agentic AI Engineer to design, develop, and deploy AI-driven solutions using LLMs, diffusion models, and other generative frameworks. You will collaborate with data scientists, software engineers, and business teams to create intelligent, context-aware applications that enhance automation and decision-making across the enterprise.

You will build APIs, pipelines, and integrations to embed generative AI into products and workflows, while ensuring data governance

Qualifications

• Experience designing and deploying AI models at scale.
• Strong Python and ML framework expertise.
• Experience with LLM APIs and vector databases.

Responsibilities

• Design, fine-tune, and deploy LLMs and generative models for business use cases.
• Build and optimize prompt engineering and model interaction strategies.
• Develop APIs, pipelines, and integrations to embed generative AI capabilities.
• Collaborate with data engineers to ensure high-quality datasets for training and evaluation.
• Implement responsible AI principles, including bias mitigation and governance.
• Monitor model performance and refine models through retraining.
• Stay updated with AI frameworks and open-source tools.
• Contribute to internal knowledge sharing and best practices.

Skills

Python

PyTorch

TensorFlow

SQL

Machine Learning

Big Data

NLP

Data pipelines

Prompt engineering

RLHF

OpenAI API

Vector databases

Tools

LangChain

Hugging Face

OpenAI API

Pinecone

FAISS

Weaviate

Job description

Job Summary

The Agentic AI Engineer will be responsible for designing, developing, and deploying AI-driven solutions leveraging large language models (LLMs), diffusion models, and other generative frameworks. The role involves collaborating closely with data scientists, software engineers, and business teams to create intelligent, context-aware applications that enhance automation, creativity, and decision-making across the enterprise.

Key Responsibilities

• Design, fine-tune, and deploy large language models (LLMs) and other generative models for specific business use cases.
• Build and optimize prompt engineering and model interaction strategies for improved output accuracy and relevance.
• Develop APIs, pipelines, and integrations to embed generative AI capabilities into products and workflows.
• Collaborate with data engineers to ensure high-quality, domain-relevant datasets for model training and evaluation.
• Implement responsible AI principles, including bias mitigation, explainability, and data governance.
• Monitor model performance and continuously refine models through feedback loops and retraining.
• Stay up to date with emerging trends in AI research, frameworks (e.g., LangChain, Hugging Face, OpenAI API), and open-source tools.
• Contribute to internal knowledge sharing and best practices for scalable AI deployment.

Skill Requirements

• Proficiency in Python and frameworks such as PyTorch or TensorFlow.
• Experience in SQL, Machine Learning, Big Dat and other Databases.
• Experience with LLM APIs (OpenAI, Anthropic, Gemini, etc.) and vector databases (Pinecone, FAISS, Weaviate).
• Familiarity with prompt engineering, model fine-tuning, and reinforcement learning from human feedback (RLHF).
• Strong understanding of NLP, deep learning, and data pipeline design.
• Strong problem-solving and analytical thinking.