Senior Software Engineer

Join FloQast's Core AI Team as a Senior AI Engineer and play a pivotal role in our AI transformation. You will architect, build, and scale AI products that power our accounting automation platform and realize our vision of an AI accountant teammate. This position demands deep expertise in production AI systems and a passion for solving complex accounting workflow challenges. You will not only develop AI applications but also influence the technical direction of AI across FloQast, establishing the platform and standards for distributed AI execution company-wide.

What You'll Do

• Architect and lead the development of production AI products, including intelligent chatbots, document processing systems, and agentic workflows, utilizing Python and modern AI frameworks.
• Design and implement our centralized AI platform, encompassing model routing, provider management, vector search, and AI application frameworks with seamless MCP integrations.
• Build scalable AI products that integrate with diverse technologies such as accounting systems, document repositories, and external APIs, while ensuring robust monitoring and observability.
• Master context engineering and system design for AI applications, focusing on 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 within the regulated accounting sector.
• Provide technical leadership and mentorship to the growing AI team, establishing best practices for AI product development, deployment, and governance.

What You'll Bring

• Over 6 years of professional software engineering experience, with at least 3 years focused on building backends for production applications.
• Proficiency in Python, with familiarity in 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).
• A strong desire to gain 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 effectively to both technical and business stakeholders.

Nice To Haves

• Experience building production chatbots or conversational AI products.
• 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 enhancing AI product performance.
• Experience building AI platform components such as embedding pipelines, semantic search systems, or multi-modal processing frameworks.