Cognition
Coding AI · Devin autonomous coding agent
Coding AI · Devin autonomous coding agent
Currently tracking 13 active AI roles, down 27% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $260k–$300k (avg $280k).
Cognition currently has 22 active AI-related job listings, with a significant focus on roles within the "agents" stage, accounting for 64% of their openings. The majority of these positions are in Engineering. The company is actively hiring for roles related to agent orchestration, LLM observability, and tool use.
Cognition currently has 24 active AI-related roles in our index. The most common open titles are: Partner Deployed Engineer - APAC (2), AI Enablement Engineer, AI Support Engineer, Applied AI Engineer - ANZ, Applied AI Engineer - APAC. Most positions are in Engineering and Product.
Cognition's active AI hiring is concentrated in: agents (67%), application (21%), serving infrastructure (4%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Cognition is hiring AI talent in: United States (13 roles), United Kingdom (2 roles), Singapore (2 roles), Japan (2 roles).
Job postings at Cognition most frequently mention: CI/CD, System Design, Kubernetes, Tool-Using Agents, Technical Leadership.
In the past 30 days, Cognition has posted 5 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| General Application Applied AI lab building end-to-end software agents, starting with Devin (AI software engineer) and Windsurf (AI-native IDE), aiming to create collaborative AI teammates for complex real-world tasks. | Agent | 10 |
| Product Engineer Product Engineer at an applied AI lab building end-to-end software agents, specifically focusing on the Devin AI software engineer and Windsurf AI-native IDE. The role involves owning features end-to-end, building performant and beautiful experiences across IDE, web, and CLI surfaces, setting the standard for agent UX, and working directly on the core agent infrastructure including the agent loop and tool use. | Agent | 9 |
| Software Engineer |
| Agent |
| 9 |
| Software Engineer, Infrastructure Software Engineer, Infrastructure role at an applied AI lab building end-to-end software agents (like Devin, the AI software engineer). The role focuses on building and operating the core infrastructure for agent execution, including compute, orchestration, networking, and platform systems. This involves owning agent execution infrastructure (sandboxed compute environments, VM orchestration, container management), building the developer platform (CI/CD, deployment systems), driving reliability and observability, and scaling infrastructure with product growth. Requires deep systems engineering, cloud/container expertise (Kubernetes, AWS/GCP/Azure), strong Python skills, observability instincts, and a security/isolation mindset for agentic workloads. | AgentServe | 8 |
| Applied AI Engineer - APAC This role focuses on deploying and integrating Cognition's AI software agents (like Devin) into enterprise engineering teams. The engineer will architect agentic workflows, lead customer engagements, demonstrate high-value usage patterns, quantify impact, and scale learnings into playbooks. The role requires strong software engineering fundamentals, customer-facing experience, and a focus on driving adoption and measurable productivity gains. | Agent | 8 |
| Partner Deployed Engineer This role focuses on enabling Global Systems Integrators (GSIs) to successfully deploy, scale, and deliver value with Cognition's AI agents (Devin and Windsurf) to their client base. The Partner Deployed Engineer will work closely with partners to build repeatable offerings, provide technical enablement, co-deliver pilots, and act as a technical representative within partner organizations, influencing the product roadmap based on field learnings. | Agent | 8 |
| Applied AI Engineer - ANZ This role focuses on deploying and integrating AI software agents (like Devin) into enterprise engineering workflows to drive adoption and productivity. It involves embedding with teams, architecting agentic workflows, leading workshops, optimizing agent configurations, quantifying impact, and scaling learnings into playbooks. | Agent | 7 |
| AI Support Engineer The role focuses on resolving complex technical issues for customers using AI software agents (Devin and Windsurf) in real-world development environments. Responsibilities include investigating ambiguous problems, reproducing bugs, analyzing logs, tracing failures, forming root-cause hypotheses, and driving issues to resolution. The role requires strong debugging instincts, broad systems knowledge, and the ability to operate with urgency, context-switch across problem domains, communicate clearly with customers, and partner with engineering. | Agent | 7 |
| Partner Deployed Engineer - Europe This role focuses on enabling Global Systems Integrators (GSIs) to successfully deploy, scale, and deliver value with Cognition's AI agents (Devin and Windsurf) to their clients. The Partner Deployed Engineer will work closely with partner technical teams to build repeatable offerings, provide technical enablement, co-deliver pilots, and act as a technical representative within partner organizations, influencing the product roadmap based on field learnings. | Agent | 7 |
| Partner Deployed Engineer - APAC This role focuses on enabling Global Systems Integrators (GSIs) to successfully deploy and scale AI software agents (like Devin and Windsurf) for their clients. It involves deep technical work, partner enablement, and ecosystem thinking, acting as a technical representative within partner organizations to help them build repeatable offerings and operationalize the AI platform. | Agent | 7 |
| AI Enablement Engineer This role focuses on enabling enterprise engineering teams to adopt and integrate AI software agents (like Devin) into their workflows. The engineer will lead workshops, guide customers, pair-program, identify high-ROI workflows, create enablement materials, and collaborate on scaling AI Enablement into a productized offering. It requires strong software engineering fundamentals, customer-facing experience, and the ability to teach and scale learnings. | Agent | 7 |