Agentic & Generative AI developer

📋 Description

• Develop, test, and maintain Agentic AI workflows using Langchain, LangGraph, Google ADK, etc.
• Convert AI architecture into working prototypes and deployable components.
• Build and enhance RAG pipelines, agent-based applications, and knowledge retrieval systems.
• Perform data preprocessing, feature engineering, and model optimization.
• Collaborate with teams to build reusable GenAI modules and enforce coding best practices.
• Manage cloud-based deployments on AWS, Azure, or GCP.

🎯 Requirements

• Strong coding background in Python with AI/ML engineering experience.
• Proven track record of working with LLMs, Transformer models, and Agentic AI frameworks.
• Familiarity with prompt engineering, API integration, and model orchestration.
• Hands-on experience with RAG architectures, vector databases, and agent-to-agent communication
• Working knowledge of SQL/NoSQL, data warehousing, and analytical querying.
• Understanding of CI/CD pipelines, Docker, and Kubernetes for model lifecycle management.