> Markdown version of [/jobs/ext/2936266-agent-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/2936266-agent-infrastructure-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Agent Infrastructure Engineer - **Company:** Matter Intelligence - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Databases, Data as a Services, Software Debugging, Distributed Systems, Network Connections, Software Engineering, Management of Software Versions, Reinforcement Learning, Large Language Models, AI Platforms - **Published:** September 16, 2026 - **Apply:** https://startup.jobs/agent-infrastructure-ic-matter-intelligence-10072396 ## About the Role * Experience building production agent infrastructure, applied-AI platforms, workflow engines, distributed systems, or complex AI products. * Strong hands-on software engineering skills across architecture, APIs, stateful services, databases, asynchronous execution, testing, debugging, and production operations. * Practical experience with LLMs, VLMs, multimodal systems, RAG, memory, tool use, model routing, structured generation, and common agent failure modes. * Experience building systems with security, permissions, data isolation, auditability, and human approval requirements. * Sound product judgment and the ability to explain uncertain system behavior precisely across technical and non-technical teams., * Experience with scientific, geospatial, industrial, defense, autonomy, or other high-consequence customer-intelligence systems. * Experience building multimodal applications that combine imagery, time series, maps, documents, structured data, or sensor streams. * Experience with agent evaluation, reinforcement learning or world-model environments, model routing, constrained decoding, or durable workflow systems. * Familiarity with edge or intermittently connected operation, local model execution, or mixed cloud and edge architectures. ## Description Matter is hiring an Agent Infrastructure Engineer to build the production systems that turn physics-informed and general-purpose AI into secure, evidence-backed intelligence and action. Reporting to Ignacio Cases Martin, this hands-on individual contributor will work across agent runtimes, reasoning graphs, model routing, retrieval, memory, tools, durable execution, and human approval in partnership with research, platform, product, design, and evaluation teams., * Build and operate a production agent runtime that composes physics-informed models, LLMs, VLMs, world models, scientific code, data services, and deterministic business rules through stable interfaces. * Design durable execution with state, planning, tool selection, retries, timeouts, cancellation, checkpoints, provenance, human approval, and recovery. * Build retrieval, RAG, memory, and indexing patterns that respect tenancy, permissions, freshness, versioning, retention, and evidence lineage. * Create evidence-first outputs that distinguish source data, model inference, system-generated synthesis, user input, and unresolved uncertainty. * Integrate continuous evaluation across task success, groundedness, scientific validity, safety, latency, cost, and human intervention. * Partner with product, design, AI platform, Signal and Evaluation, and Telemetry teams to create reusable APIs, tools, and human-in-the-loop workflows without one-off orchestration., * Production agents generate useful outputs with clear evidence, provenance, uncertainty, and human authority boundaries. * Long-running workflows recover predictably from unavailable models, tools, data, or network connectivity. * Reusable APIs, SDKs, tools, and graph components let teams create new agents without one-off orchestration. ## Related Videos - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [From SaaS to Space: The Defensible Value VCs Are Looking For](https://www.wearedevelopers.com/videos/100104-from-saas-to-space-the-defensible-value-vcs-are-looking-for) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [From AI Assistance to Agentic Systems: Scaling Sovereign AI in Banking](https://www.wearedevelopers.com/videos/100070-from-ai-assistance-to-agentic-systems-scaling-sovereign-ai-in-banking) ## Related Articles - [ I Gave a Video Editor More Autonomy Than a Trading Bot. On Purpose.](https://www.wearedevelopers.com/magazine/773-i-gave-a-video-editor-more-autonomy-than-a-trading-bot-on-purpose) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)