A hybrid Software Development role at FloQast.
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Original listing text, shown exactly as published by the company.
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Contribute to the architecture and lead development of production AI products including intelligent chatbots, document processing systems, and agentic workflows using Python and modern AI frameworks
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Design and implement components of our centralized AI platform including model routing, provider management, vector search, and AI application frameworks with seamless MCP (Model Context Protocol) integrations
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Build scalable AI products that integrate with diverse technologies including accounting systems, document repositories, and external APIs while maintaining robust monitoring and observability
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Implement context engineering and system design for AI applications, ensuring optimal information retrieval, context assembly, and multi-turn conversation management
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Collaborate with Product, Engineering, and Security teams to ensure AI products are robust, compliant, and aligned with business objectives in the regulated accounting space
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Provide technical guidance and mentorship to other engineers on the growing AI team, promoting best practices for AI product development, deployment, and governance
What You'll Bring
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7+ years of professional software engineering experience with 3+ years focused on building backend for production applications
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Strong proficiency in Python, alongside familiarity with AI application frameworks, context engineering, and scalable system design for AI products
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Experience designing products that integrate with multiple technologies, APIs, and data sources in cloud-native environments (AWS preferred)
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Strong desire to develop deep hands-on experience with LLM APIs, retrieval-augmented generation (RAG), conversational AI, document processing, and MCP integrations
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Proven ability to own tech product initiatives, drive technical standards, and communicate complex system designs to both technical and business stakeholders
Nice To Haves/Other
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Experience building chatbots or conversational AI products in production
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Background in system integration, API design, or enterprise software platforms
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Familiarity with accounting workflows and financial data processing
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Experience with AI observability, debugging tools, and production AI monitoring
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Hands-on experience with advanced RAG architectures, reranking systems, and retrieval optimization techniques
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Knowledge of reinforcement learning from human feedback (RLHF) or other RL techniques for improving AI product performance…
FloQast
Software Development
45 open roles on Sydicom
FloQast offers close management and automation software designed for corporate accounting teams. Its platform helps companies streamline and manage the financial close process, improving efficiency and accuracy.
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