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.

Work arrangement
Yes