• Build customer-facing and internal product features end to end. • Develop web flows, backend APIs, admin tools, dashboards and operational systems. • Support products across insurance, payments, savings, investing, travel and financial services. • Work with product, design, mobile and operations teams to launch fast. • Integrate APIs, handle data flows and improve production reliability. • Use analytics, feedback and production issues to improve features after launch. • Help build tools that reduce manual work and improve speed across the business.

• Build AI agents, workflows, tools and automations that solve real customer, product and operations problems. • Apply LLMs, retrieval, tool calling, evaluations, guardrails and automation to practical financial workflows. • Create AI-assisted experiences for onboarding, support, KYC, risk review, CRM, operations, document handling and product intelligence. • Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production. • Design around real constraints: accuracy, hallucination risk, latency, cost, security, compliance and user trust. • Turn manual processes into reliable AI-enabled systems that can scale.

• Build AI agents, workflows, tools and automations that solve real customer, product and operations problems • Apply LLMs, retrieval, tool calling, evaluations, guardrails and automation to practical financial workflows • Create AI-assisted experiences for various operational tasks • Work with product and engineering teams to build and improve solutions • Design around real constraints

• Build AI agents, workflows, tools and automations that solve real customer, product and operations problems. • Apply LLMs, retrieval, tool calling, evaluations, guardrails and automation to practical financial workflows. • Create AI-assisted experiences for onboarding, support, KYC, risk review, CRM, operations, document handling and product intelligence. • Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production. • Design around real constraints: accuracy, hallucination risk, latency, cost, security, compliance and user trust. • Turn manual processes into reliable AI-enabled systems that can scale.