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Metro location, generalist SDE title and broad AI requirements increase competition.
Highly specialized agentic AI skills reduce transferability across non-AI domains.
Requires prior production AI-agent experience and full-stack engineering, creating strict candidate filters.
Design and build autonomous AI agents that integrate with finance systems to automate and improve complex financial decision processes.
Own full-stack development including data pipelines, system integrations, orchestration logic, and AI layers for finance automation.
Directly impact finance operations by delivering production-ready systems that replace manual reconciliation and repetitive work with intelligent automation.
Experience designing and building multi-step, autonomous AI agent systems, not just API wrappers or chatbots.
Strong software engineering skills with solid computer science fundamentals and system design experience.
Proficiency with modern AI tools including LLM APIs, agentic frameworks, and prompt engineering.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable working inside complex, ambiguous business domains and defining problems during development without full specifications.
Able to make strategic build-vs-buy decisions for AI and automation technologies in financial contexts.
Pragmatic engineer focused on delivering reliable, production-quality AI systems that support critical financial workflows and decisions.