AI Support Engineer

Cognition; San Francisco (CA); On-site; USD 80,000 - 110,000; Full time

Job summary

A tech startup in San Francisco is seeking an AI Support Engineer to address customer issues related to AI-powered tools. You will be the first responder to technical problems and collaborate with engineering teams to resolve them. The ideal candidate has a Bachelor's degree in Computer Science and 2+ years in a technical role, with skills in Docker, Kubernetes, and programming languages like Python and Java. Strong organizational and problem-solving abilities are essential in this fast-paced environment.

Qualifications

• 2+ years working in a technical role.
• Knowledge of distributed computing and container orchestration.
• Strong problem-solving skills in a dynamic environment.

Responsibilities

• First line of response to any customer issues.
• Responsible for escalation and education on solutions.
• Document learnings and distribute knowledge effectively.
• Conduct product testing and automate parts of QA process.

Skills

Customer friendliness

Problem-solving

Organizational skills

Education

Bachelor's or higher degree in Computer Science

Tools

Docker

Kubernetes

Python

Java

Go

Job description

About the Role

Are you excited about the limitless possibilities of artificial intelligence and machine learning? Do you want to make these possibilities into realities for real people? If so, we have an extraordinary opportunity to join our startup as an AI Support Engineer.

Cognition and Windsurf give AI-powered tools to development teams at thousands of enterprises, from startups to Fortune 500 companies. Due to the complexity of enterprise tasks and environments, combined with the rapid evolution of the product itself, customer issues may come up that would reduce adoption and value driven if not addressed rapidly. You will be the first line of responding and resolving these customer issues, leveraging your computer science and AI knowledge to help customers effectively. Your role will be instrumental in driving adoption of AI technology.

Key Responsibilities

• First line of response to any customer issues: Customer issues could stem from misuse of the software, errors in the deployment, or bugs in the underlying software. Support engineers are required to use their AI and CS knowledge to root cause, reproduce, and respond to any type of issue. Support engineers will help define processes and build automations to streamline our support function.

• Escalation, resolution, and education: If a support engineer is unable to resolve a customer issue, they are responsible for escalating the issue to the appropriate Cognition/Windsurf stakeholders (deployed engineering, field IT, or enterprise engineering), tracking and understanding the resolution of the issue, and educating the customer on the solution.

• Knowledge documentation and distribution: Support engineers are responsible for documenting learnings about failure modalities across use and deployment and distributing that knowledge to end customers and internal engineering teams.

• Product testing and feedback: Cognition and Windsurf’s products work across a range of IDEs, programming languages, and modalities. Support engineers will be instrumental in testing each release. Support engineers will also use their CS and AI skills to automate parts of the QA process.

Qualifications

• 2+ years working in a technical role

• Bachelor's or higher degree in Computer Science, Software Engineering, or related field.

• Knowledge of distributed computing, containerization, and orchestration technologies (e.g., Docker, Kubernetes).

• Proficiency in programming languages such as Python, Java, or Go

• Strong organizational skills and customer friendliness.

• Strong problem-solving skills and the ability to work in a fast-paced, dynamic startup environment.

• Passion for artificial intelligence and large language models. Hands-on experience with these technologies is not required, but is a plus.

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.