Job Description

- Design, build, and deploy Generative AI and Agentic AI solutions

- Build, fine-tune, and optimize Large Language Models (LLMs)

- Develop Retrieval-Augmented Generation (RAG) pipelines and prompt engineering strategies

- Design multi-step autonomous AI agents and workflows

- Build ML models and maintain end-to-end ML pipelines using Python

- Write scalable, production-ready Python code

- Integrate AI capabilities into applications and cloud platforms

- Deploy AI solutions on Azure and AWS infrastructure

Qualifications
- Solid proficiency in Python (NumPy, Pandas, FastAPI, LangChain, PyTorch/TensorFlow)

- Expertise in Generative AI and LLM tools

- Experience building AI Agents and Agentic AI workflows

- Knowledge of embeddings, vector databases,



and model evaluation techniques

- Solid understanding of ML fundamentals, MLOps, and production deployment

Experience
- Minimum 5+ years of hands-on AI/ML engineering experience

- Proven experience delivering LLM-powered applications

- Experience building production ML pipelines and cloud deployments

- Exposure to GenAI systems in enterprise environments preferred

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI/ML Engineer (Chennai)
🏢 Optimum Solutions
📍 Chennai