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Remote role with broad AI+fullstack requirements and a well-funded employer yields high applicant competition.
Specialized LLM, AI systems and production ML expertise limit cross-industry transferability.
Explicit 7–10 years plus required AI, Python, cloud, and LLM production experience makes screening strict.
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Set and own the technical direction and architecture for AI and accounting software systems, including backend and AI platform components.
Design, develop, operate, and maintain LLM powered AI systems such as RAG pipelines, agentic workflows, and evaluation frameworks with full lifecycle responsibility.
Lead and mentor engineering team members, establish coding and architectural standards, and collaborate cross-functionally to ensure technical plans align with product and quality goals.
Bachelor’s degree in Computer Science or equivalent experience.
7 to 10 years of experience in software development including building, integration, security, and architecture.
Proficiency in object-oriented programming with Python; experience with React, SQL databases (Postgres/MySQL), cloud (AWS), Docker, and Kubernetes.
Work Experience Required: 7 to 10 years; Previous team leadership experience is a plus but not mandatory.
Experienced technical leader with deep expertise in AI-assisted software development and AI native practices, including developing or integrating LLM powered systems and RAG pipelines.
Hands-on full stack engineer comfortable writing production code and guiding technical strategy in fast-paced startup environments.
Demonstrated ability to drive technical decisions and cross-functional collaboration for complex, ambiguous projects while maintaining high code quality and system reliability.