Cognition
Coding AI · Devin autonomous coding agent
Coding AI · Devin autonomous coding agent
Cognition is actively hiring for 18 AI-related roles. The majority of these positions, 61%, are focused on agents, with application roles making up another 22%. Engineering is the most frequent function for these hires. Over the last 30 days, Cognition has posted 5 new AI roles, representing a 400% increase compared to the previous 30-day period.
Currently tracking 14 active AI roles, up 55% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $260k–$300k (avg $280k).
Cognition currently has 18 active AI-related roles in our index. The most common open titles are: Partner Deployed Engineer - APAC (2), AI Enablement Engineer, Applied AI Transformation Manager - APAC, Applied AI Transformation Manager - Europe , Data Engineer, Core Product. Most positions are in Engineering and Product.
Cognition's active AI hiring is concentrated in: agents (61%), application (22%), serving infrastructure (6%). 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 (12 roles), United Kingdom (2 roles), India (2 roles), Singapore (1 role).
Job postings at Cognition most frequently reference: agent orchestration, agent research, evals, tool use, code gen.
In the past 30 days, Cognition has posted 2 new AI-related roles. That is a -60% change versus the prior 30 days (5 → 2).
| 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 |
| Research, Post-Training Research role focused on post-training and alignment of AI agents, shaping their behavior and capabilities for real-world usefulness and safety. Blends research and engineering to iterate on datasets, training stages, hyperparameters, and evaluation design, with a focus on understanding and advancing techniques like RLHF/RLAIF for long-horizon tasks. | Post-trainAgent | 9 |
| Research, Mid-Training This role focuses on the critical mid-training stage of LLMs, bridging pre-training and post-training. The goal is to sharpen raw base model capabilities in areas like reasoning, generalization, coding, and math through strategic data mix, quality uplift, annealing schedules, context length extension, and synthetic data generation. The role involves both research and engineering, with a strong emphasis on evaluation and iteration to ensure measurable capability gains for AI agents like Devin. | PretrainPost-train | 9 |
| Research Engineer, Infrastructure Research Engineer, Infrastructure role at Cognition, an applied AI lab building end-to-end software agents like Devin. The role focuses on building and owning the core systems that researchers depend on, including distributed training infrastructure, experiment orchestration, data pipelines, and tooling to accelerate research velocity. This involves ensuring systems are fast, reliable, and scalable for large-scale training jobs across thousands of GPUs, with a focus on performance optimization and parallelism strategies. The ideal candidate has deep experience in distributed systems, Python/C++, PyTorch, GPU profiling, and ML knowledge to engage with researchers. | Serve | 9 |
| 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 |
| Special Projects Engineer This role is for an engineer at an applied AI lab focused on building end-to-end software agents, specifically for their product Devin (AI software engineer) and Windsurf (AI-native IDE). The role involves translating real-world customer pain points into product improvements and hands-on implementations, acting as a force multiplier by building internal tools and processes. It requires a strong engineering foundation and a founder mindset with high agency and initiative. | Agent | 8 |
| Deployed Engineer, Federal Applied AI lab building end-to-end software agents, specifically Devin (AI software engineer) and Windsurf (AI-native IDE). This role is for a foundational engineer in the federal group, focusing on deploying and integrating these agents within federal enterprise accounts, translating customer needs into product requirements, and architecting complex deployments. | Ship | 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 |