The Role:

We’re looking for a backend engineer to own our core data products from architecture through production. The role centers on building new customer-facing APIs, AI services, and a native workflow builder. This is a high-autonomy role for someone who can work directly with the founders to make architectural decisions and own product implementation end to end.

Responsibilities:

• API development: lead the development of our new external API from end-to-end:

  • API design: researching industry leading APIs and problem solving with founders on final openapi spec

  • Architecture: deciding where to host what frameworks to leverage

  • Implementation and deployment: building out optimized SQL queries that support dynamic filtering

• AI microservices

  • Building, deploying, and testing agentic microservices that convert natural language / free-text queries into deterministic filters / permalinks

  • Modernizing our MCP to leverage updated API routes and implement customer-scoped authentication and auditable credit charging

• Workflow builder: Build our workflow product end to end, similar to n8n, so customers can create recurring automations using our data

  • Architecture design: Work with founders to define the workflow schema, execution model, and deployment architecture

  • Implementation and deployment: Build scheduling, execution, persistence, retries, deduplication, and integration suite

Requirements:

• Strong backend engineering experience building production systems from scratch

• Strong TypeScript/Node.js or Python skills, plus SQL and Postgres experience.

• Experience designing APIs, data models, and distributed jobs with authentication, idempotency, retries, and observability

• Understands how to use AI tooling (e.g., Claude, Codex) to build maintainable, modular systems without sacrificing quality

• Practical experience with LLM-backed systems, agentic frameworks, RAG, structured outputs, evaluations, and deterministic validation

• Clear product judgment and communication in ambiguous, fast-moving environments

• Deployed production systems using cloud platforms (GCP, AWS, Azure)

Nice to Have:

• Experience working with open-source LLMs

• Search, entity resolution, workflow engines, or complex data products

• Experience working with GCP services (e.g, Google Cloud Run)

• React/Next.js experience and the ability to ship customer-facing product flows

• Experience with Supabase, Vercel, Clerk, and Stripe