The Role
Design and build production-grade agentic AI and multi-agent systems: implement RAG/GraphRAG, knowledge graphs and ontologies; develop agent workflows, routing, memory and MCP/A2A protocols; integrate Neo4j, vector and relational stores; build FastAPI backends and production-ready, scalable AI architectures.
Summary Generated by Built In
Job Summary:
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.
Key Responsibilities- 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.
Skills Required
- 6+ years software engineering experience with significant experience building AI/LLM applications
- 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
- Demonstrated experience delivering production-grade AI or agentic systems
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Convo provides an enterprise social collaboration platform that enables easy, secure conversations between desk / non-desk workers to accelerate company productivity and engagement. Unlike existing email-focused or chat-centric collaboration platforms, only Convo combines the ease of social networks with rich collaboration capabilities to simplify and optimize work interactions for all employees -- no email required.
Gallery
