AI Runtime and Vector Engineer

About the Company Our client is a US-based software company specializing in enterprise PostgreSQL solutions. The company helps organizations modernize, manage, scale, and secure their databases across cloud and on-premise environments and is a recognized contributor to the PostgreSQL ecosystem. About the Role We are looking for an AI Runtime and Vector Engineer to help build next-generation agent infrastructure on PostgreSQL. You will work on Agent Hub, Agent Memory, MCP, and vector/retrieval infrastructure, helping turn PostgreSQL into a first-class platform for AI agents. Responsibilities - Maintain and enhance the agent management framework using PostgreSQL as a durable runtime. - Build internal agents and vector/retrieval infrastructure supporting agent memory and tool use. - Develop reusable patterns that customers can adopt for their own AI agents. - Contribute to agent orchestration and runtime infrastructure. - Evolve evaluation frameworks for agent quality, memory recall, and end-to-end agentic workflows. - Deploy and operate AI and database services on AWS or GCP. - Collaborate with engineers to build scalable and production-ready AI infrastructure. Requirements - Strong experience with Python. - Experience with at least one of: Rust, Go, or C/C++. - Experience with an agent framework or pattern such as LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, MCP, or equivalent. - Understanding of tool use, retrieval, planning, and agent memory. - SQL and database engineering experience. - Familiarity with PostgreSQL. - Experience with Kubernetes, Docker, and CI/CD. - Experience with AWS or GCP. Nice to Have - Experience with production agent memory systems. - Experience with MCP, tool registries, or agent orchestration. - Experience with AI governance or observability. - PostgreSQL extension development in C or Rust. - Experience with information retrieval, knowledge graphs, or ML/AI evaluation. What We Offer - Fully remote work. - A professional, supportive, and friendly team. - Long-term employment with competitive compensation, based on experience. - Continuous knowledge sharing with engaged co-workers.