Description

You will design and deploy intelligent, AI-driven applications using Python and modern frameworks. You own the full lifecycle of machine learning and deep learning models from training to production.

Responsibilities

• Implement Agentic AI and Generative AI solutions using LangChain, LangGraph, and ReAct agents.
• Build scalable REST APIs and user interfaces with FastAPI and Streamlit.
• Deploy and manage applications on AWS and OpenShift, leveraging CI/CD pipelines for automated releases.
• Integrate AI solutions into business workflows, collaborating with product, data, and engineering teams.
• Ensure code quality and maintainability using Pydantic models and engineering best practices.

Required Skills

• Strong proficiency in Python programming for production-grade applications.
• Hands-on experience with Agentic AI patterns, LLM orchestration, and prompt workflows.
• Experience deploying AI solutions on AWS using scalable and secure architectures.
• Solid foundation in machine learning, deep learning, and NLP concepts.
• Familiarity with CI/CD pipelines, containerization, and cloud-native deployments.
• Experience with Databricks and cloud-native tools for large-scale data processing.
• Ability to apply human-in-the-loop controls and feedback mechanisms for model governance.
• Strong analytical, debugging, and problem-solving skills.

Preferred Skills

• Experience monitoring application health using logging, metrics, and observability tools.
• Ability to troubleshoot and integrate microservices and distributed systems.

Key Skills

Education

Any Graduate