Founding Engineer
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Role details
Tech stack
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Job description
We’re hiring a founding full stack engineer to help architect and build the platform from day one. This is a unique opportunity to own a significant portion of the tech stack and grow into a leadership role with considerable upside in equity. You’ll be working on infrastructure that combines large-scale data systems with AI-native agents. This is a highly autonomous, high-leverage role with ownership over core architecture and early team culture., * Architect and build scalable APIs, backend services, and web application components
- Contribute across the stack: data pipelines, agents, web UIs, deployment systems
- Design and implement internal tooling, testing frameworks, and CI/CD pipelines
- Collaborate closely with product and design to prototype and ship features quickly
- Help define engineering processes, contribute to documentation, and grow the early team
Requirements
- Languages: TypeScript (Node.js), Python (FastAPI)
- Frontend: React, Next.js, Tailwind, shadcn/ui
- Backend: Postgres, DuckDB, GraphQL (Hasura), Kafka, REST
- Cloud/Infra: AWS, Docker, GitHub Actions, ArgoCD, Kubernetes (basic)
- AI/Agents: LangChain, LangGraph, OpenAI, Anthropic, LLaMA, Pinecone, Qdrant
- Governance: Keycloak, Open Policy Agent (OPA), OpenTelemetry, Slack integrations
- Visualization: Vega, Flourish, React ReChart
- Connectors: ERP, PLM, Excel, Email, Web APIs, * 5+ years as a full stack or backend engineer
- Experience owning and delivering production systems end-to-end
- Prior experience with modern frontend frameworks (React, Next.js)
- Familiarity with building APIs, databases, cloud infrastructure, or deployment workflows at scale
- Comfortable working in early-stage startups or autonomous roles; prior experience as a founder, founding engineer, or a 0-1 pre-seed startup is a big plus
Mindset
- Comfortable with ambiguity, eager to prototype and iterate quickly
- Strong sense of ownership - prefers to build systems rather than wait for tickets
- Enjoys thinking about architecture, performance, and tradeoffs at every level
- Clear communicator and pragmatic team player
- Values equity and impact over prestige or hierarchy
- Prior startup or founding team experience, * Interest in data systems, agent workflows, or LLM orchestration
Benefits & conditions
- True ownership - early equity and influence over product and technical direction
- Mission-driven team solving complex data and AI problems with real-world impact
- Strong engineering culture focused on velocity, clarity, and long-term thinking
- Learning curve across AI, data infra, agents, and enterprise-scale platforms
- Early access to cutting-edge AI workflows and deployment patterns
If you want to build systems that learn, act, and evolve - with the autonomy to shape the stack and the team - we’d love to hear from you.
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