Software Engineer, Connectors & Mcp

Writer Writer · AI Frontier · San Francisco, CA · Engineering, product & design

Software engineer to build and operate secure, scalable AI integration platforms that connect enterprise systems and power mission-critical automation. Focus on backend service design for high-throughput, low-latency APIs enabling agent workflows and cross-system orchestration, with an emphasis on identity, auth, and trust boundaries. Requires experience with AI integration layers, distributed systems, cloud-native technologies, and observability.

What you'd actually do

  1. Design and deliver secure, scalable AI integration platforms that connect enterprise systems and power mission-critical automation.
  2. Contribute to the design and evolution of our AI integration client ecosystem, defining how AI applications securely connect to external tools, data sources, and enterprise systems.
  3. Own backend service design for high-throughput, low-latency APIs that enable reliable agent workflows and complex cross-system orchestration.
  4. Set technical direction for identity, auth, and trust boundaries across integrations (OAuth, API key, service-to-service), balancing developer velocity with security and compliance.
  5. Partner with product and cross-functional engineering leaders to shape roadmap, define technical strategy, and translate ambiguous business goals into durable platform capabilities.

Skills

Required

  • 5+ years of software engineering experience building and operating production backend systems using Typescript, Deno, Node.js, or Bun
  • Strong experience designing and shipping API-driven platform services and distributed systems, including microservices, event-driven patterns, and secure service-to-service communication.
  • Practical expertise building AI integration layers (e.g., MCP clients/servers, tool orchestration, external API connectors, auth mediation), not just prompt or model experimentation.
  • Deep hands-on knowledge of authentication and security patterns for third-party integrations (OAuth2/OIDC, API keys, token lifecycle, secret management, least-privilege access).
  • Proven cloud-native experience on AWS, GCP, or Azure, including containerized workloads (Docker/Kubernetes), CI/CD, and production operations.
  • Strong experience with observability and reliability engineering, including defining/operating service metrics, SLOs/SLAs, alerting, incident response, and performance tuning.
  • Solid backend fundamentals in modern server frameworks and data systems (e.g., TypeScript/Node or Python ecosystems, PostgreSQL)
  • Demonstrated ability to lead through ambiguity: partner cross-functionally, mentor engineers, drive technical decisions, and own delivery from design through production.

Nice to have

  • experience with Python is a plus

What the JD emphasized

  • building the next generation of AI-powered solutions
  • AI integration platforms
  • agentic workflows
  • agent workflows
  • cross-system orchestration
  • identity, auth, and trust boundaries
  • AI integration layers
  • tool orchestration
  • external API connectors
  • auth mediation

Other signals

  • building the next generation of AI-powered solutions
  • leverages cutting-edge generative AI technologies
  • large language models
  • sophisticated agentic workflows
  • AI integration platforms
  • agent workflows
  • cross-system orchestration