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Finsmart Accounting is seeking a hands-on AI Automation Agent Developer to support the Operational Excellence function. You will evaluate AI tools, build internal AI agents, and deploy automation systems that streamline accounting and operational workflows.
The role focuses on practical implementation, coming with experience in LLM APIs and translating ideas into production-ready automation, while ensuring data privacy and secure handling of financial information.
Finsmart Accounting is a global accounting and finance outsourcing partner serving CPA firms, multinational corporations, and growing businesses. Since 2007, we have helped 300+ clients across multiple countries scale their finance operations through skilled accounting professionals and technology-enabled solutions. Our services include bookkeeping, accounting, tax, payroll, compliance, financial reporting, and virtual finance support. At Finsmart, we are driven by our core values of Partnership, Authenticity, Agility, Trust, and Joy, fostering a high-performance culture where professionals can build meaningful careers while helping clients accelerate growth.
Experience Required: (0-3 Years Experience)
Department: Operational Excellence
Reporting To: Head of Operational Excellence
Evaluate AI tools relevant to accounting and operational workflows.
Conduct structured testing and benchmarking based on accuracy, integration
capability, security, scalability, and ROI.
Prepare evaluation reports with clear recommendation criteria.
Support pilot implementations and measure performance improvements.
Design and implement internal AI agents for knowledge retrieval systems (RAG-based assistants).
Document summarization and analysis.
Email and communication automation.
Workflow validation and monitoring.
Develop prompt frameworks and validation layers to ensure output reliability.
Integrate AI agents with internal tools and SaaS platforms.
Build AI-powered automation workflows using Python.
Work with OpenAI / Anthropic APIs.
Use basic LLM orchestration frameworks (e.g., LangChain or similar).
Work with REST APIs and SaaS integrations.
Maintain logs, documentation, and performance tracking dashboards.
Ensure data privacy and secure handling of financial information.
Work closely with the Head of Operational Excellence to prototype and deploy AI
initiatives.
Convert conceptual automation ideas into production-ready solutions.
Maintain documentation, version control, and implementation guidelines.
Continuously refine and improve deployed AI systems.
2-3 years of hands-on experience in AI application development or AI automation.
Strong proficiency in Python.
Experience working with LLM APIs (OpenAI, Claude, or similar).
Understanding of prompt engineering principles.
Basic exposure to Retrieval-Augmented Generation (RAG) concepts.
Experience working with REST APIs and system integrations.
Strong analytical and problem-solving skills.
Experience integrating AI with SaaS platforms.
Exposure to accounting or finance-related workflows.
Familiarity with vector databases (basic knowledge acceptable).
Understanding of cloud deployment environments (AWS, Azure, or GCP).