AI Runtime & Vector Engineer,

5+ years of experience
Europe or USA
Fulltime, Remote

Our client is a global enterprise software provider, serving over 1,500 customers across financial services, government, media, and IT. They offer enterprise-grade PostgreSQL solutions, managed cloud services, and 24/7 support, enabling application modernization, database migration from legacy systems, and hybrid/multi-cloud deployments. Their platform unifies transactional, analytical, and AI workloads while ensuring security, compliance, and high availability, with built-in AI capabilities.

We are looking for an AI Runtime & Vector Engineer, who will help build EDB's agent infrastructure on Postgres — Agent Hub, Agent Memory, MCP, and vector/retrieval — turning Postgres into a first-class platform for AI agents.

Requirements

  • Python plus at least one of Rust, Go, or C/C++

  • Hands-on experience with an agent framework or pattern (LangChain, LangGraph, LlamaIndex, OpenAI Agents SDK, MCP, or equivalent) and a working mental model of tool use, retrieval, planning, and memory

  • SQL / database engineering experience; working familiarity with Postgres

  • Comfort with Kubernetes, Docker, and CI/CD in a remote-first, distributed team

  • Cloud experience (AWS or GCP), especially AI or database services

  • English level - Upper intermediate

Responsibilities

  • Maintain and enhance the agent management framework, using Postgres as a durable runtime for agents

  • Build internal agents and the vector/retrieval infrastructure supporting agent memory and tool use

  • Contribute to patterns customers will adopt to build their own agents

  • Help evolve evaluation frameworks for agent quality, memory recall, and end-to-end agentic workflows

  • Deploy and operate on AWS or GCP, particularly AI or database services

Will be a plus

  • Production memory systems for agents — episodic/semantic memory, conversation summarization, memory consolidation, or graph-based memory

  • Familiarity with MCP, tool registries, and agent orchestration patterns

  • Governance/observability experience for AI systems — policy enforcement, audit logging via OpenTelemetry, guardrails, supervisory/judge agents

  • Postgres extension development in C or Rust, or other Postgres ecosystem contributions

  • Background in information retrieval, knowledge graphs, or applied ML 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.


 

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