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FloQast is seeking a Senior Software Engineer, AI to join its Core AI team and drive the company's AI transformation. You will architect, build, and scale production AI products that power FloQast's accounting automation platform, with the vision of creating an AI accountant teammate. This is a high-impact role that combines hands-on engineering with technical leadership across the organization.
Key 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 a centralized AI platform featuring model routing, provider management, vector search, and AI application frameworks with seamless Model Context Protocol (MCP) 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
About FloQast:
FloQast is the leading AI-powered Accounting Transformation Platform, built by former accountants for accountants. The company automates complex, recurring accounting workflows, transforming preparers into strategic reviewers. Trusted by over 3,500 accounting teams including Lululemon, Doordash, and the MLB, FloQast is redefining the accounting profession globally. The company has been recognized as a Best Place to Work by Inc. Magazine (2021-2025), LA Business Journal (9 consecutive years), and Built In (7 consecutive years).
Requirements:
- 5+ years of professional software engineering experience with 4+ years focused on building backend for production applications
- Mastery of Python and familiarity with 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
Nice to Haves:
- Experience building chatbots or conversational AI products in production
- Background in system integration, API design, or enterprise software platforms
- Familiarity with accounting workflows and financial data processing
- Experience with AI observability, debugging tools, and production AI monitoring
- Hands-on experience with advanced RAG architectures, reranking systems, and retrieval optimization techniques
- Knowledge of reinforcement learning from human feedback (RLHF) or other RL techniques for improving AI product performance
- Experience building AI platform components like embedding pipelines, semantic search systems, or multi-modal processing frameworks
