Staff Software Engineer, AI
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Strong ghost-posting signals
- open for 403 days (90+ without a fill is a strong ghost signal)
- reposted 1× (reposts correlate with ghost postings)
- removed from the board and reposted at least once
- 52 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
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About the role
Key Responsibility
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
Required Qualifications
10+ years of professional software engineering experience with 4+ years focused on building backend for production applications
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
Nice to Haves/Other
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
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