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Niche autonomous-AI agent skillset and non-metro location reduce competition.
ML/AI agent engineering skills are transferable across industries but require specialized tooling knowledge.
Mandatory prior autonomous AI-agent and LLM engineering experience creates high shortlisting filters.
Redesign and build autonomous AI-driven finance systems replacing manual spreadsheet-based workflows.
Own end-to-end full stack development: data pipelines, integrations (ERP/CRM/finance), orchestration, and AI layers producing actionable financial outputs.
Operate closely with finance leadership (Head of Strategic Finance, CFO's office) and ship production-grade systems impacting company financial decisions.
Experience building multi-step, autonomous AI agents with minimal human oversight (not just wrapping LLM APIs).
Strong engineering skills with solid computer science fundamentals and system design capabilities.
Familiarity with modern AI tools: LLM APIs, agent frameworks, prompt engineering, evaluation and guardrails.
Work Experience Required: Not explicitly mentioned in the JD.
Engineer capable of handling high ambiguity and working with incomplete requirements, defining problems proactively.
Comfortable operating inside a complex business domain (finance), learning workflows quickly without prior domain expertise.
Strategic builder who knows when to code, use existing tools, or apply LLMs to maximize automation and reliability.