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You will be a founding member of a new, globally distributed team dedicated to a single mission: revolutionizing internal developer experience in a big technical organization (thousands of developers) via AI-based developer tools. Think of it as an internal startup, with the freedom to innovate and the stability of an established company. Our goal is to design and build an intelligent platform that assists developers at every stage, from coding and debugging to testing and deployment.
Job Responsibility:
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
Requirements:
Proven polyglot programming skills with the ability to rapidly learn new languages, frameworks, and domains
Strong, hands-on experience in Python
Hands-on, practical experience building with or integrating LLMs, coding assistants, or AI agents
A proactive, self-starter attitude
Excellent communication skills in English and the ability to effectively collaborate with team members in the US West Coast time zone
Nice to have:
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