Agentic AI Engineer

Job Description - Agentic AI Engineer

Role: Agentic AI Engineer

Key Responsibilities:

• Design and develop AI solutions using Agentic AI, LLMs, and RAG architectures.
• Build intelligent AI agents, workflows, and tool integrations for enterprise use cases.
• Develop and optimize RAG pipelines, including data ingestion, chunking, embeddings, vector search, and retrieval.
• Work with LLM frameworks, prompt engineering, and model evaluation techniques.
• Integrate AI solutions with APIs, databases, cloud platforms, and enterprise systems.
• Optimize solutions for accuracy, scalability, performance, and cost.

Must-Have Skills:

• Strong experience with Agentic AI, RAG, and LLMs.
• Hands-on experience with Python and AI/ML frameworks.
• Knowledge of LLM orchestration frameworks such as LangChain, LangGraph, or similar.
• Experience with Vector Databases / Embedding Models / Prompt Engineering.
• Understanding of AI agents, tool calling, function calling, and multi-agent workflows.
• Strong problem-solving and communication skills.

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