Requirements

Expected technologies

Python

Scala

JVM

Kotlin

Java

Optional technologies

Docker

Kubernetes

Google Cloud Platform

AWS

Operating system

macOS

Our requirements

• Proven polyglot programming skills with the ability to rapidly learn new languages, frameworks, and domains.
• Hands-on, practical experience building with or integrating LLMs, coding assistants, or AI agents. You should be ready to demonstrate your work or discuss your implementation experience during the interview.
• Strong, hands-on experience in at least one of the following: Python, Scala, or another modern JVM language (e.g., Kotlin, Java 17+).
• A proactive, self-starter attitude. You take initiative, communicate clearly, and thrive in a collaborative, goal-oriented environment.
• Excellent communication skills in English and the ability to effectively collaborate with team members in the US West Coast time zone.

Optional

• A passion for or prior experience in building developer tools, IDE plugins, or enhancing developer workflows.
• Experience with DevOps practices and tools (CI/CD, Docker, Kubernetes, cloud platforms like GCP or AWS).
• Familiarity with the MLOps or Data Engineering ecosystem, particularly on the integration and tooling side (we are not looking for model researchers or trainers)

Your responsibilities

• Design and implement integrations with cutting-edge Large Language Models (LLMs) and APIs (like OpenAI’s models, Anthropic’s Claude, and more).
• Develop intelligent, agent-based systems to automate and assist in complex software development tasks.
• Engineer the core infrastructure for our AI agents, including components like MCP servers.
• Seamlessly weave AI capabilities into the daily workflows of our developers by integrating with essential tools like GitHub, Slack, IDEs, and client internal services, mostly Scala-based.
• Collaborate within a distributed, international team to research, prototype, and deploy solutions that have a direct impact on developer productivity and satisfaction.