Agentic AI Engineer

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.

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.

Technical and Professional Requirements:

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