Senior Software Engineer, AI

## About the Role As a Senior Software Engineer on Sentry's AI/ML team, you will play a crucial role in developing the platform used by the company's debugging agents. This involves integrating AI and machine learning into core products to enhance issue triage, resolution, and predictive analytics for application performance monitoring. Your work will have a direct impact on helping companies worldwide gain actionable insights into their software, enabling them to build better products faster.

The role is part of a hybrid work model, with specific in-office days designed to encourage collaboration and teamwork. If you thrive in environments where you can selfishly build things that make your digital life better, and you're driven by the impact and visibility of your work, this could be the perfect fit.

Sentry is committed to equal employment opportunities, striving to build a diverse team with an inclusive culture. The company believes in making great software accessible to everyone, everywhere, and this role is a key part of that mission.

## What You Will Do - Develop state-of-the-art agentic AI platforms to triage, debug, and solve real production issues.

• Leverage Sentry’s novel and massive dataset of errors, spans, and profiles to inform your work.
• Own the development of major initiatives in the AI/ML space, working closely with cross-functional teams.
• Build features alongside developers and product teams, ensuring seamless integration of AI and ML solutions.
• Collaborate with the team to design, implement, and deploy machine learning models at scale in production environments.
• Work with deep learning frameworks such as PyTorch to develop and refine AI models.
• Participate in code reviews and contribute to the improvement of the codebase.
• Stay up-to-date with the latest advancements in AI, machine learning, and related technologies.
• Mentor junior engineers and contribute to the growth of the team.
• Engage in continuous learning and professional development to enhance skills and knowledge.

## What We Are Looking For - Minimum 5+ years of professional experience with a Bachelor’s degree in Computer Science, Machine Learning, or a related field.

• Demonstrated expertise in building production-grade agentic systems and tools.
• Comfortable writing production-quality code, with proficiency in languages like Python and TypeScript.
• Experience with deep learning frameworks, particularly PyTorch.
• Familiarity with deploying machine learning models at scale in production environments.
• Strong understanding of software development principles, including design patterns and testing methodologies.
• Excellent problem-solving skills, with the ability to analyze complex issues and develop creative solutions.
• Strong communication and teamwork skills, with the ability to work effectively in a remote and hybrid environment.

## Nice to Have - Experience with cloud platforms and containerization technologies.

• Knowledge of DevOps practices and tools such as Docker, Kubernetes.
• Familiarity with agile development methodologies and version control systems like Git.
• Participation in open-source projects or personal projects that demonstrate your passion for AI and machine learning.

## Benefits and Perks - Competitive salary range, with the base salary expected to be between

- Highlight your experience with AI and machine learning frameworks, particularly PyTorch, in your resume and cover letter.

• Prepare examples of production-grade agentic systems and tools you've developed, to showcase during interviews.
• Demonstrate your understanding of software development principles, including design patterns and testing methodologies.
• Showcase your problem-solving skills by discussing complex issues you've analyzed and the creative solutions you've developed.
• Be ready to discuss your experience with cross-functional teams, including how you collaborate with developers and product teams.
• Research Sentry’s products and services, and be prepared to discuss how your skills and experience align with the company’s mission and goals.
• Negotiate your salary based on your experience and the market rate, and don’t hesitate to ask about benefits, equity, and other perks during the hiring process.