Agentic AI Engineer

Responsibilities:

1. Design, develop, and deploy AI agents using LLMs.
2. Build multi-agent workflows and autonomous systems.
3. Integrate AI agents with APIs, databases, and business tools.
4. Optimize agent performance, reliability, and security.
5. Monitor and improve agent decision-making processes.

Requirements:

1. Experience with Python and AI frameworks.
2. Knowledge of LLMs, RAG, prompt engineering, and agent frameworks.
3. Experience with API integrations and cloud platforms.
4. Strong problem-solving and analytical skills.

Application Question(s):

1. How many years of experience do you have in RAG?
2. How many years of experience do you have in LLM?
3. How many years of experience do you have in Phyton?
4. How many years of experience do you have in LangChain, LangGraph,CrewAI,AutoGen,OpenAI SDK, Anthropic SDK, MCP (Model Context Protocol), Docker & Kubernetes, AWS, Azure, or Google Cloud Platform

Workflow Automation Tools (n8n, Make, Zapier)

1. Please mentioned your last degree?
2. Current Salary?
3. Expected salary?
4. Notice period

Experience:

1. Agentic AI: 5 years (Required)

Work Location: Remote

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