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WRITER is an enterprise generative AI platform helping leading companies like Mars, Marriott, Uber, and Vanguard build and deploy AI agents grounded in their data. The company is valued at $1.9B and backed by top-tier investors including Premji Invest, Radical Ventures, and ICONIQ Growth.
You'll join the engineering team as a Software Engineer focused on connectors and Model Context Protocol (MCP) integration. This is a hybrid role based in San Francisco, New York City, or Seattle, reporting to the Senior Director of Engineering.
In this role, you will:
- Design and deliver secure, scalable AI integration platforms that connect enterprise systems and power mission-critical automation
- Contribute to the design and evolution of the AI integration client ecosystem, defining how AI applications securely connect to external tools, data sources, and enterprise systems
- Own backend service design for high-throughput, low-latency APIs that enable reliable agent workflows and complex cross-system orchestration
- Set technical direction for identity, auth, and trust boundaries across integrations (OAuth, API key, service-to-service), balancing developer velocity with security and compliance
- Partner with product and cross-functional engineering leaders to shape roadmap, define technical strategy, and translate business goals into durable platform capabilities
- Lead production excellence through a metrics-first reliability strategy, defining and enforcing SLOs/SLAs, maturing observability, and driving resilience and performance optimization at scale
- Raise the engineering bar through architecture reviews, design standards, testing strategy, and mentorship of senior and mid-level engineers
REQUIREMENTS:
- 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), with ability to choose the right tool for the system; Python experience is a plus but not required
- Demonstrated ability to lead through ambiguity: partner cross-functionally, mentor engineers, drive technical decisions, and own delivery from design through production
- Alignment with core values of Connect, Challenge, and Own
About Writer
AI / Data / Infrastructure; SaaS / Enterprise Software — enterprise generative AI platform for business teams.
