Senior Applied AI Engineer

About the role

This role focuses on developing and deploying AI systems that automate complex workflows and enhance operational efficiency. The engineer will be responsible for building agentic systems, ensuring their safety, and integrating them into production environments. This involves creating and maintaining evaluation loops and golden datasets to validate AI performance.

The successful candidate will contribute to making AI features accessible and easier for other engineering teams to build upon. This involves not only shipping production-ready systems but also handing off completed projects effectively and establishing best practices for AI development within the organization. The work requires a disciplined approach to evaluation and a focus on practical application.

Success in this position means delivering robust, safe, and scalable AI solutions that directly impact the company's operations. It involves taking ownership of the entire lifecycle of AI features, from initial design and development through to deployment and ongoing evaluation. The role emphasizes practical, hands-on experience in a production setting, particularly with LLM-powered features and agentic patterns.

The salary for this role ranges from $100,000 to $150,000 USD annually.

Skills that matter here

• Python: This role requires strong familiarity with Python for developing and deploying AI systems.
• TypeScript: Experience with TypeScript or another typed language is needed for building production services.
• Go: Experience with Go or another typed language is needed for building production services.
• AWS: Cloud experience with AWS is necessary for deploying and managing AI solutions.
• GCP: Cloud experience with GCP is necessary for deploying and managing AI solutions.

Who this role suits

• A person with 7+ years of engineering experience, including at least 1 year specifically building agentic systems.
• Someone who has successfully shipped multiple LLM-powered features in a production environment.
• An engineer who prioritizes safety and disciplined evaluation practices in AI development.
• A professional with strong communication skills, capable of effectively handing off completed projects.

From the employer

What You'll Do:

• Ship production agentic systems.
• Automate SME workflows.
• Own the evaluation loop and the golden datasets that anchor it.
• Make AI features safe.
• Hand off what you ship.
• Make AI features easier for the rest of engineering to build.

What You Need:

• 7+ years professional experience as an Engineer with at least 1+ years of hands-on experience building agentic systems.
• Strong Python familiarity plus one typed language for production services.
• Cloud experience (AWS or GCP) and containerized deployment.
• Senior or staff-level software engineering foundation.
• Multiple shipped LLM-powered features in a production environment.
• Practical knowledge of common agentic patterns.
• Hands-on experience in a production environment with retrieval.
• Strong prompt-engineering practice.
• Comfort with structured output and validation in production.
• Disciplined evaluation practice.
• Strong written and verbal communication.