The role involves designing, developing, and deploying enterprise-grade agentic AI solutions, including React agents, RAG systems, and intelligent automation workflows.
Develop scalable AI agents and RAG systems using frameworks like LangGraph.
Architect multi-step reasoning workflows and integrate with enterprise APIs.
Collaborate with cross-functional teams to deliver production-ready AI solutions.
Ensure compliance with enterprise security and governance standards.
Optimize system performance across multiple LLM providers.
Requirements: B.Sc. in Computer Science, Engineering, or related field.
35 years of software development experience, with strong Python skills.
Proven experience integrating LLMs (OpenAI, Anthropic, Azure OpenAI, etc.).
Hands-on experience with RAG architecture and vector databases.
Solid understanding of enterprise software design and API integrations.
Familiarity with MCP, cloud platforms (AWS, GCP, Azure), and containerization- Advantage
This position is open to all candidates.