Agentic AI Engineer

We are seeking a talented and enthusiastic Generative AI Engineer to join our growing AI practice. The ideal candidate should have hands-on experience in developing Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Python. Exposure to cloud platforms such as AWS, Azure, or GCP is essential.

This role involves building AI-powered applications, intelligent assistants, chatbots, and enterprise knowledge solutions utilizing modern GenAI frameworks and cloud-native technologies.

Responsibilities

Design, develop, and deploy Generative AI applications using Large Language Models (LLMs).

Build and maintain Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.

Develop AI-powered chatbots, virtual assistants, document intelligence, and knowledge search solutions.

Create scalable backend services and APIs using Python.

Integrate LLMs with enterprise applications, databases, and external APIs.

Work with vector databases for semantic search and document retrieval.

Deploy AI solutions on AWS, Azure, or GCP cloud platforms.

Optimize prompts, embeddings, and retrieval mechanisms for improved performance.

Collaborate with Data Scientists, ML Engineers, and Cloud Engineers to deliver production-ready AI solutions.

Implement monitoring, evaluation, and governance for GenAI applications.

Technical requirements

Primary skills:Artificial Intelligence->Artificial Intelligence - ALL,Technology->Data Science->Machine Learning->Generative AI->LLM

Additional responsibilities

5 years of experience in Python development, AI/ML, NLP, or Generative AI projects.

Strong problem-solving and analytical skills.

Passion for Generative AI and emerging technologies.

Excellent communication and collaboration abilities.

Ability to work effectively in Agile environments.

Education

Bachelor of Engineering,Bachelor Of Technology (Integrated)