We're looking for a Software Engineer to work directly with the founding team. This is a high-ownership role for someone who wants to build the core infrastructure and product behind an AI-powered platform that's transforming how enterprise teams analyze data and automate complex workflows. You'll ship real features quickly, work across the full stack, and play a key role in a fast-growing startup where your code reaches users immediately.
What You Will Do
- Build and ship product features end-to-end across an AI-powered software platform.
- Design and implement the systems that power automated workflows, data processing, and AI-generated outputs.
- Work across the full stack, including frontend interfaces, backend services, data pipelines, and AI/LLM integrations.
- Build seamless integrations across the tools users rely on, including web applications, spreadsheets, email, and other productivity platforms.
- Collaborate closely with the founding team on technical architecture and product direction.
- Write clean, reliable, well-tested code in a fast-moving environment where shipping quickly matters.
- Debug and optimize platform performance, particularly around AI-generated outputs and large datasets.
- Contribute to infrastructure and internal tooling that enables the engineering team to scale efficiently.
- Take ownership of problems, not just assigned tasks, by identifying opportunities and driving solutions from concept to implementation.
Qualifications
- 2+ years of professional software engineering experience.
- Strong fundamentals in at least one backend language (Python, TypeScript/Node.js, Go, etc.) with the ability to work across the full stack.
- Experience building and shipping customer-facing products.
- Solid understanding of databases, APIs, and distributed system design.
- Ability to move quickly, make pragmatic tradeoffs, and iterate effectively.
- Comfortable working with ambiguity and independently solving loosely defined problems.
- Strong communication skills and a collaborative mindset.
Nice to Have
- Experience working with LLMs, prompt engineering, or production AI/ML systems.
- Familiarity with financial data or building software for complex professional workflows.
- Experience developing spreadsheet add-ins, email integrations, or multi-platform product experience.
- Background in data engineering or working with large, unstructured datasets.
- Experience as an early engineer at a startup.
- Contributions to open-source projects.
- Familiarity with cloud infrastructure and DevOps tools such as AWS, GCP, Docker, and CI/CD.