Agent Infrastructure (IC)

Matter Intelligence • El Segundo, CA

11d • Onsite

About The Position

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. 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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• Competitive compensation based on experience
• Early-stage equity package
• 100% employer-paid health, dental, and vision coverage
• Opportunity to work on novel sensing, data, and AI systems with real-world deployment paths to the largest industries in the world

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed