The opportunity :

You will be one of the first senior engineers, working closely with our CTO and founding team.

This is a hands-on founding-engineering role. You will design architecture, write production code, review pull requests, debug failures, deploy services, and operate what you build.

You will move between backend services, frontend experiences, data models, AI workflows, cloud infrastructure, security, testing, and production operations. You will also help establish the engineering practices and technical foundations on which the company will scale.

This is not primarily a people-management, project-management, consulting, DevOps-only, or architecture-governance role.

What you will build :

- Multi-tenant enterprise SaaS architecture

- C# and ASP.NET Core services and APIs

- React and TypeScript product experiences

- PostgreSQL data models and enterprise data ingestion

- AI agents, LLM integrations, RAG and tool-calling workflows

- Document processing, grounding and structured outputs

- Analytics, dashboards, workflows and relationship visualizations

- Enterprise authentication, authorization, RBAC and tenant isolation

- Background workers, queues, retries and distributed workflows

- Google Cloud infrastructure, CI/CD and production observability

- AI evaluations, guardrails and human-approval workflows

Technical experience :

- Strong recent production experience with C# and ASP.NET Core is highly preferred. You should have substantial experience with several of the following:

- C#, ASP.NET Core, REST APIs and asynchronous programming

- React, TypeScript and complex web applications

- PostgreSQL or comparable relational databases

- Cloud-native SaaS platforms and production operations

- OAuth 2.0, OIDC, JWT, RBAC and application security

- Distributed systems, queues, workers and event-driven processing

- Docker, infrastructure as code and modern CI/CD

- Automated testing and production-quality engineering practices

- GitHub, pull requests and collaborative code review

AI engineering :

This is an AI-native product. You should have personally built at least one meaningful LLM, RAG, agentic, document-intelligence, or AI-enabled workflow beyond a tutorial or demonstration. Relevant experience includes:

- LLM APIs and model integration

- AI agents and tool calling

- Retrieval-augmented generation

- Structured outputs

- Document ingestion and grounding

- AI evaluations and regression testing

- Guardrails and human-approval workflows

- Prompt-injection and sensitive-data protection

- Managing hallucinations, latency and reliability

- Monitoring token usage and operating costs