Own business automation end-to-end. You partner directly with operations, sales, and customer support teams to identify workflow bottlenecks and manual processes ripe for automation. You don't wait for a product manager to write you a spec. You discover the problem, scope the solution, build it, deploy it, and measure the impact.
Design and ship AI-driven systems that replace manual labor. These aren't chatbot wrappers. You're building agentic workflows and orchestration layers that handle complex, multi-step business processes autonomously — with the guardrails and error handling required for production use in a fintech environment. You build systems that people trust because they work reliably, not because someone mandated adoption.
Measure everything. You define the metrics that matter: hours recovered, error rates reduced, cycle times compressed, operational throughput gained. You report impact in business terms. "We automated X and saved Y hours per week" is the language you speak. If something isn't delivering value, the data tells you before anyone else.
Evangelize by shipping, not by presenting. Your most persuasive argument is a working system, not a slide deck. You turn skeptics into believers by showing them their own time savings. You build systems that make the whole ops org better, not just your team.

7+ years of professional software engineering experience — you understand how engineering and business systems actually work at scale, not just how AI demos work.
Strong proficiency in Python and TypeScript/JavaScript — you can build production systems in both. Not scripts. Not notebooks. Production.
Full-stack capability spanning backend services, APIs, and frontend interfaces. You can build the automation pipeline and the dashboard that shows it's working.
1–2+ years working deeply with LLMs and AI agents in production — not side projects, not hackathons. Real systems handling real workflows. You can speak to failure modes, cost optimization, prompt engineering patterns, and model selection trade-offs from experience.
Built multi-agent or agentic workflows — task decomposition, agent specialization, orchestration, error recovery. You've worked with Claude Code, LangGraph, CrewAI, AutoGen, or custom agent frameworks at a level where you can articulate why you chose one approach over another.
Hands-on with AI coding tools daily — Claude Code, Cursor, GitHub Copilot, Windsurf, or similar. You don't just use them, you push their limits. You have a personal workflow that makes you measurably faster and you can teach it to others.
Comfort working directly with non-technical stakeholders. You can sit with a support lead, understand their workflow, and translate it into a technical solution without needing a translator.

Medical, Dental and Vision Insurance
401k with company match
RSUs
Paid vacation, 10 company holidays, sick time, and volunteer time off
Employee Resource Groups to build community and inclusion at work
Monthly cell phone and internet stipend
Tuition reimbursement for up to $2,000 per calendar year to assist with your professional development

Senior Software Engineer – Python/TypeScript

Key skills