AI Support Engineer

Cognition
Tokyo; New York, Tokyo; New York, New York

Who this role is best for

Best suited to mid-level engineers with debugging expertise and AI interest working in fast-paced, talent-dense environments across Tokyo or New York.

Best fit for

  • Engineers who thrive on diagnosing complex, ambiguous technical issues across diverse systems.
    — “Investigate ambiguous, environment-specific problems across codebases, infrastructure, developer tooling
  • Candidates comfortable with rapid context-switching across a high volume of technical issues.
    — “Ability to operate with urgency across a high volume of technical issues
  • Technical support specialists seeking to transition into AI-assisted development tools.
    — “Experience in high-volume technical support or customer engineering environments

Things to consider

  • Expect to handle a steady stream of urgent technical issues requiring rapid resolution.
    — “Resolve a high volume of incoming technical issues
  • Role requires deep collaboration with engineering teams to escalate product issues.
    — “Partnering closely with engineering when deeper product investigation is required

How to stand out

  • Demonstrate specific examples of debugging multi-layer stack issues in past roles.
    — “debugging issues that span multiple layers of the stack
  • Highlight automation tools or playbooks you've built to accelerate support workflows.
    — “Build internal playbooks, tooling, automations, and documentation
  • Showcase experience with both cloud platforms and developer tooling integration.
    — “cloud platforms such as AWS/GCP/Azure, and networking fundamentals
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • high resolution rate of technical issues
  • positive customer feedback
Typical background
software engineeringAI development

Skills & requirements

Required

DebuggingSystem KnowledgeRoot Cause AnalysisCustomer Communication

Preferred

Cloud PlatformsAI Integration

Stack & domain

AISoftware EngineeringDebuggingSystems KnowledgeProblem-solvingCommunicationTeamworkSoftware Development

About the role

Original posting from Cognition via Ashby

WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS.

We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.

Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.

Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.

WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS.

We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.

Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.

Building Devin and Windsurf is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.

About the Role

Cognition is building the AI software engineer of the future. As an AI Support Engineer, you will be responsible for resolving complex technical issues for customers using Devin and Windsurf in real-world development environments.

This role goes well beyond basic support. You will investigate ambiguous, environment-specific problems across codebases, infrastructure, developer tooling, CI/CD systems, APIs, containers, and cloud platforms. You will reproduce bugs, analyze logs, trace failures, form root-cause hypotheses, and drive issues to resolution quickly and rigorously.

We are looking for someone with strong debugging instincts, broad systems knowledge, and the ability to operate with urgency across a high volume of technical issues. You should be comfortable context-switching across problem domains, communicating clearly with customers, and partnering closely with engineering when deeper product investigation is required.

This is a unique opportunity to work at the frontier of AI-assisted software development, with real customers relying on the product every day.

RESPONSIBILITIES

  • Investigate, reproduce, and diagnose complex customer issues across diverse development environments, including cloud infrastructure, CI/CD systems, APIs, containers, version control, IDEs, and enterprise deployment setups.
  • Perform root-cause analysis by reading logs, tracing code paths, correlating system behavior, forming hypotheses, and isolating failures.
  • Resolve a high volume of incoming technical issues while maintaining strong investigation quality and clear customer communication.
  • Escalate product or infrastructure issues to engineering with complete technical context, including reproduction steps, logs, environment details, and root-cause hypotheses.
  • Educate customers on best practices, workarounds, deployment patterns, and product capabilities to improve adoption and reduce recurring issues.
  • Build internal playbooks, tooling, automations, and documentation that make future investigations faster and more systematic.
  • Identify recurring failure modes and share actionable feedback with product, engineering, and deployment teams.
  • Support release testing and quality efforts across the range of environments, languages, IDEs, and workflows our customers use.

QUALIFICATIONS

  • 4+ years of experience in a technical role such as software engineering, infrastructure engineering, solutions engineering, technical support engineering, or developer tooling.
  • Bachelor’s degree or higher in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
  • Working knowledge of Linux, Docker, Git, CI/CD pipelines, cloud platforms such as AWS/GCP/Azure, and networking fundamentals.
  • Demonstrated ability to reproduce, isolate, and debug technical issues from incomplete or ambiguous reports.
  • Experience analyzing logs, traces, errors, and system behavior across distributed or multi-component systems.
  • Strong ability to read and reason about code in multiple languages, such as Python, TypeScript, Java, Go, or similar.
  • Strong written communication skills, especially when explaining technical findings to customers and internal engineering teams.
  • Ability to operate with urgency in a fast-paced environment while managing a steady stream of incoming issues.
  • Passion for AI, developer tools, and the future of software engineering.

NICE TO HAVE

  • Experience building internal tools, scripts, or automations to accelerate debugging, support, or QA workflows.
  • Familiarity with LLMs, AI-assisted development tools, IDEs, or developer productivity platforms.
  • Experience in high-volume technical support or customer engineering environments.
  • Experience debugging issues that span multiple layers of the stack, such as application logic, infrastructure, authentication, third-party APIs, networking, or deployment configuration.
  • Prior experience working directly with engineering teams to escalate, diagnose, and resolve product issues.

EQUAL OPPORTUNITY

Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.

Source: Cognition careers (Ashby)

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