Senior Software Engineer

Responsibilities

• Partner directly with operations, sales, and customer support teams to identify workflow bottlenecks and manual processes ripe for automation.
• Own business automation end-to-end: discover problems, scope solutions, build, deploy, and measure impact without waiting for detailed specs.
• Design and ship AI-driven systems that replace manual labor, including agentic workflows and orchestration layers for complex, multi-step business processes.
• Build production-grade systems with guardrails, error handling, and reliability suitable for fintech environments.
• Define and track metrics such as hours recovered, error rates reduced, cycle times compressed, and operational throughput gained.
• Report impact in business terms and evangelize solutions by shipping working systems.

Requirements

• 7+ years of professional software engineering experience.
• Strong proficiency in Python and TypeScript/JavaScript for production systems.
• Full-stack capability spanning backend services, APIs, and frontend interfaces.
• 1–2+ years working deeply with LLMs and AI agents in production (not side projects).
• Experience building multi-agent or agentic workflows including task decomposition, agent specialization, orchestration, and error recovery.
• Hands-on daily use of AI coding tools such as Claude Code, Cursor, GitHub Copilot, or Windsurf.
• Comfort working directly with non-technical stakeholders to translate workflows into technical solutions.

Nice to Have

• Familiarity with Salesforce platform development (Apex, Lightning, APIs).
• Experience building custom AI orchestration layers or multi-agent systems for business process automation.
• Background in CI/CD pipeline design and cloud infrastructure (AWS, GCP, or Azure).
• Prior experience in ops automation, business process reengineering, or internal tooling at a fast-growing company.