> Markdown version of [/jobs/ext/2073941-senior-software-engineer-agent-infrastructure](https://www.wearedevelopers.com/jobs/ext/2073941-senior-software-engineer-agent-infrastructure). 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). --- # Senior Software Engineer, Agent Infrastructure - **Company:** COHERE, LLC - **Location:** Toronto, United States (Remote available) - **Experience:** Expert - **Salary:** $156,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Databases, File Systems, Distributed Systems, Fault Tolerance, Machine Learning, Secure Coding, Private Cloud Environment, Large Language Models, Multi-Agent Systems, Rate Limiting, Kubernetes, Free and Open-Source Software, Machine Learning Operations - **Published:** August 15, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pb8trnv5h6 ## About the Role * Experience building production ML infrastructure with strong systems fundamentals * Hands-on work with agentic systems, multi-agent workflows, or agent development frameworks * Familiarity with model routing and LLM provider frameworks across different model types and environments * Experience with scalable, fault-tolerant distributed systems and Kubernetes * A track record of moving quickly on prototypes and making good decisions about productionization. Bonus * Experience across on-prem, private cloud, and public cloud environments * Familiarity with storage systems, embedded databases, or filesystem abstractions * Experience with code execution sandboxes such as gVisor, Firecracker, Kata, or WASM runtimes * Interest in emerging ML infrastructure, edge inference, or browser-native models * Open-source contributions to LLM or agent infrastructure projects * Experience with identity, workload auth, or capability-based security systems. ## Description We're building the next generation of agentic AI infrastructure at Cohere. This team sits at the intersection of ML systems, distributed infrastructure, and developer experience, creating the platform that powers autonomous AI agents at scale. You'll work on hard, forward-looking problems with few established patterns, including secure code execution, agent state management, model routing, identity and authentication, and resource management for long-running agent workflows. This role is a strong fit for someone who combines systems depth with ML intuition. You should be comfortable building reliable infrastructure, thinking through distributed systems tradeoffs, and understanding how emerging agentic capabilities shape platform design. What You'll Work On. * Secure execution environments for agent-generated code * Identity, authentication, and trust boundaries for agents * Model routing and orchestration across different model types and environments * Rate limiting, quotas, and resource management for agent workflows * State management, memory, and filesystem abstractions for agents. In This Role You Will * Turn emerging ML research ideas into production-ready infrastructure * Build core platform capabilities for execution, storage, and state management * Prototype and evaluate new technologies, then help decide what should move into production * Partner with research teams to shape infrastructure based on what future agent systems will need ## Related Videos - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Possibilities with Web Capabilities](https://www.wearedevelopers.com/videos/1575-possibilities-with-web-capabilities) - [Agentic AI: building autonomous systems for developers](https://www.wearedevelopers.com/videos/100034-agentic-ai-building-autonomous-systems-for-developers) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [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) ## Related Articles - [A 5-Step Open-Source Setup for Agentic Engineering](https://www.wearedevelopers.com/magazine/738-a-5-step-open-source-setup-for-agentic-engineering) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [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) - [The Overflow: AI and Agentic Coding](https://www.wearedevelopers.com/magazine/721-the-overflow-ai-and-agentic-coding) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)