FloQast is undergoing an AI transformation and needs to architect, build, and scale AI products to power its accounting automation platform and achieve its vision of an AI accountant teammate. The company aims to solve complex accounting workflow challenges through AI.
Requirements
- Mastery of Python
- Familiarity with some AI application frameworks, context engineering, and scalable system design for AI products
- Expertise in designing products that integrate with multiple technologies, APIs, and data sources in cloud-native environments (AWS preferred)
- Strong desire to develop deep hands-on experience with LLM APIs, retrieval-augmented generation (RAG), conversational AI, document processing, and MCP integrations
- Proven ability to lead tech product initiatives, establish technical standards and communicate complex system designs to both technical and business stakeholders
- Experience building chatbots or conversational AI products in production
- Background in system integration, API design, or enterprise software platforms
Responsibilities
- Architect and lead development of production AI products including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks
- Design and implement our centralized AI platform including model routing, provider management, vector search, and AI application frameworks with seamless MCP (Model Context Protocol) integrations
- Build scalable AI products that integrate with diverse technologies including accounting systems, document repositories, and external APIs while maintaining robust monitoring and observability
- Master context engineering and system design for AI applications, ensuring optimal information retrieval, context assembly, and multi-turn conversation management
- Collaborate with Product, Engineering, and Security teams to ensure AI products are robust, compliant, and aligned with business objectives in the regulated accounting space
- Provide technical leadership and mentorship to the growing AI team, establishing best practices for AI product development, deployment, and governance
Other
- 10+ years of professional software engineering experience with 4+ years focused on building backend for production applications
- Collaborate with Product, Engineering, and Security teams to ensure AI products are robust, compliant, and aligned with business objectives in the regulated accounting space
- Provide technical leadership and mentorship to the growing AI team, establishing best practices for AI product development, deployment, and governance
- Proven ability to lead tech product initiatives, establish technical standards and communicate complex system designs to both technical and business stakeholders
- Familiarity with accounting workflows and financial data processing
