Senior AI Engineer – Agentic AI & Python

We are looking for a Senior AI Engineer to design and build production-grade Agentic AI and LLM-powered systems. The ideal candidate is a strong Python engineer with hands-on experience in RAG multi-agent architectures knowledge graphs and modern agent protocols.

• Design and develop Agentic AI and multi-agent systems using Python.
• Build RAG GraphRAG knowledge graph and ontology-driven AI solutions.
• Develop agent workflows multi-agent routing orchestration delegation and shared memory.
• Build high-performance AI backends and APIs using FastAPI.
• Design and integrate Neo4j relational databases vector databases and semantic/ontology-based data models and knowledge graphs with Workflows and business rules.
• Develop and integrate MCP servers/clients and A2A protocols.
• Work with Microsoft Agent Framework (MAF) and other modern agentic frameworks.
• Build tool-using agents that interact with APIs databases enterprise systems and external services.
• Design reliable scalable observable and production-ready AI architectures.

• Strong Python and backend engineering experience.
• Hands-on experience with LLMs RAG Agentic AI and multi-agent systems.
• Experience with FastAPI and API development.
• Strong knowledge of knowledge graphs Neo4j Multi-tenant ontology systems and semantic data modeling.
• Experience with agent memory context management and multi-agent routing.
• Practical understanding of MCP and A2A protocols.
• Experience with Microsoft Agent Framework (MAF) or comparable agent orchestration frameworks.
• Experience with vector databases relational databases and modern search/retrieval technologies.
• Strong understanding of production software engineering scalability testing and system design.

• 6 years of software engineering experience with significant experience building AI/LLM applications.
• Demonstrated experience delivering production-grade AI or agentic systems.

• The opportunity to work on practical forecasting and predictive analytics solutions with measurable business impact.
• Collaboration with experienced data technology and business teams.
• Exposure to modern data platforms and scalable analytics workflows.
• A professional environment that values continuous learning innovation and high-quality delivery.