Chennai 5+ Years Full time Experience with enterprise AI agents or automation workflows, Knowledge of Azure ML, AWS SageMaker, or Vertex AI ODC0271

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

- Strong 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.

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