AI Agent Developer-Benchmind

We are looking for a hands-on AI Agent Developer to build and integrate GenAI/Agentic AI solutions for enterprise applications. The ideal candidate should have strong Python development skills and practical experience with LLMs RAG AI agents APIs and cloud platforms.

• Develop AI agents and agentic workflows using Python.
• Build LLM-powered applications using OpenAI/Azure OpenAI Gemini Claude or similar models.
• Develop RAG pipelines using embeddings vector databases and enterprise documents.
• Implement tool/function calling agent memory prompt engineering and structured outputs.
• Work with frameworks such as LangChain LangGraph LlamaIndex CrewAI or Semantic Kernel.
• Integrate AI agents with REST APIs databases Jira Confluence GitHub and other enterprise systems.
• Develop scalable APIs/services using FastAPI/Flask.
• Implement testing logging monitoring error handling and AI response validation.
• Deploy AI solutions using AWS/Azure/GCP Docker and CI/CD.
• Optimize applications for accuracy latency token usage and cost.

• 45 years of strong Python development experience.
• 12 years of hands-on Generative AI / LLM / Agentic AI development.
• Strong knowledge of RAG embeddings vector databases and prompt engineering.
• Hands-on experience with at least one AI agent framework such as LangGraph/LangChain/LlamaIndex.
• Good understanding of REST APIs JSON SQL/NoSQL and microservices.
• Experience with Git and cloud platforms.
• Understanding of LLM security hallucination handling and prompt-injection risks.
• Strong debugging and problem-solving skills.

• Experience with MCP Graph RAG Neo4j or knowledge graphs.
• Experience with LLM evaluation and observability.
• Exposure to multi-agent systems and autonomous workflows.
• Experience integrating AI with enterprise/business applications

Required Experience:

Manager