About the TeamThis team is building production AI that eliminates financial busywork for startups globally. We're delivering intelligent automation across payments, payroll, bookkeeping, and tax-freeing founders to focus on building their companies instead of managing finances.
We leverage cutting-edge AI tooling across the spectrum: from prompt engineering and in-context learning to fine-tuned models and agentic systems, choosing the right approach for each problem. We work backward from real founder pain points, own customer outcomes, and ship fast.
The team is small, elite, and builder-focused, led by operators with a track record of shipping AI products at scale. You'll solve hard technical problems with real autonomy and direct customer impact.
About the Role You'll be a core builder in our AI team, designing and deploying intelligent systems that automate complex, multi-step workflows. You'll leverage agentic frameworks, advanced orchestration, and pragmatic model selection to take ideas from whiteboard to production.
What You'll Do- Architect and deploy AI agents using frameworks like LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and emerging OSS stacks.
- Apply the right techniques across the AI spectrum - prompting, RAG, fine-tuning, or training from scratch.
- Design and optimize agent architectures for reasoning, tool use, and workflow automation.
- Build systems that improve with usage, creating compounding AI flywheels.
- Work with backend and frontend engineers to integrate AI reasoning into secure, production systems.
What You Need to Have- 2+ years in applied AI/ML engineering with production deployments.
- Strong Python skills and experience with ML frameworks (PyTorch, JAX, TensorFlow).
- Track record of building and deploying AI agents, orchestration frameworks, or multi-step reasoning systems.
- Understanding of monitoring, evaluation, and iteration in production AI systems.
- Ability to balance innovation with reliability, scalability, and compliance.
