Senior Software Engineer, Core AI

What You'll Do

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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 c ontext 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 produ cts are robust, compliant, and aligned with business objectives in the regulated accounting space

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Provide technical guidance and mentors hip 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 initiativ es, d rive 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, a nd retrieval optimization techniques
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• Knowledge of reinforcement learning from human feedback (RLHF) or other RL techniques for impr oving AI product performance
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• Experience building AI platform components like embedding pipelines, semantic search systems, or multi-modal processing frameworks