Fundable - Backend Engineer (TypeScript/Node.js or Python)
Backend Engineer
Build the backend powering Fundable’s API, AI services, MCP, and workflow platform.
About Fundable
Fundable provides real-time startup data and signals that help growth teams find new startup customers and help investors source their next deals. Our data plugs directly into existing workflows through our API, MCP, and native integrations.
The Role
We’re looking for a backend engineer to own Fundable’s 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 Fundable’s founders to make architectural decisions and own end-to-end product implementation.
What You’ll Own
API Development
- Lead the development of our new external API from end-to-end.
- Design the API: research industry-leading APIs and problem solve with founders on the final OpenAPI spec.
- Decide where to host and which frameworks to leverage.
- Implement and deploy optimized SQL queries that support dynamic filtering.
AI Microservices
- Build, deploy, and test agentic microservices that convert natural language / free-text queries into deterministic filters / permalinks.
- Modernize Fundable MCP to leverage updated API routes and implement customer‑scoped authentication and auditable credit charging.
Workflow Builder
- Build Fundable’s workflow product end-to-end, similar to n8n, so customers can create recurring automations using Fundable data.
- Define the workflow schema, execution model, and deployment architecture with founders.
- Implement scheduling, execution, persistence, retries, deduplication, and integration suite.
What We’re Looking For
- 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.
- Understand 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.
- Experience in 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.
How We Work
We value engineers who help solve ambiguous design problems and own solutions from architecture through production. We are AI‑first and continuously focused on improving how we work. We start with daily standups, then move to less frequent check-ins once we establish a strong working rhythm. Strong judgment and ownership matter more than experience with every technology in our stack.
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