AI/ML Achitect

JD

Candidate would operate business-critical solutions on our agentic platform, including autonomous AI agents running in a serverless environment on Google Cloud. The role emphasizes quality, reliability, and high availability, and requires someone who can work independently, partner closely with stakeholders, and translate business objectives into resilient technical solutions.

Please note: our platform is serverless-first and is not primarily a Kubernetes environment. Candidates whose experience is centered on cluster management and container orchestration may not be the right fit.

Technology Environment

  • Python, Langfuse, LangChain, and Google's Agent Development Kit (ADK)
  • Google Cloud Run for serverless compute
  • AlloyDB for PostgreSQL
  • Memorystore (Redis)

Responsibilities

  • Design, build, and deploy complex autonomous agents in Python using LangChain and Google's Agent Development Kit (ADK)
  • Apply agentic development workflows, using test- and quality-driven practices to deliver reliable, maintainable software
  • Build and operate agents and services in a serverless architecture on Cloud Run, with attention to scalability, cost, and fault tolerance
  • Design and optimize data access using AlloyDB and Memorystore (Redis), including caching and state-management strategies suited to stateless services
  • Translate business goals and requirements into scalable, high-availability technical architectures
  • Develop and maintain business-critical systems on Google Cloud infrastruct
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