5+ years of professional software engineering experience building production-grade applications
Strong proficiency in TypeScript and/or Python
Experience designing scalable backend systems, APIs, and distributed architectures
Strong knowledge of cloud platforms such as AWS or GCP
Hands-on experience integrating Large Language Models (LLMs) into production applications
Experience with prompt engineering and applying AI to solve real business problems
Strong understanding of software architecture, scalability, performance optimization, reliability, and security
Experience working in fast-paced product environments with significant technical ownership
Bachelor's degree in Computer Science or related discipline
Conversational AI, Agentic AI, NLP, or dialogue systems
Fintech, banking, or regulated industry experience
Startup experience building products from early stages through scale
Experience with observability, CI/CD, Kubernetes, Docker, and modern DevOps practices
Familiarity with AI developer tools such as Cursor or Claude Code
Engagement Highlights
Build production AI systems used by millions of banking customers
Work directly with executive engineering leadership on high-impact technical initiatives
Hands-on engineering role with ownership across architecture, implementation, and delivery
Opportunity to combine backend engineering expertise with practical LLM and agentic AI development
Join a profitable, AI-first company building the next generation of intelligent financial services