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Remote role plus broad fullstack and AI skill requirements attracts many qualified applicants.
Strong bias toward candidates with AI systems, Python backend, and enterprise accounting domain experience.
Explicit 10–12 years plus mandatory AI, Python, cloud, and fullstack tech requirements create high filtering.
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Lead technical direction and architecture for AI and accounting software systems, ensuring scalable design and sustainable implementation.
Develop, operate, and maintain LLM-powered AI systems end-to-end, including RAG pipelines and agentic workflows with a focus on reliability and quality benchmarks.
Mentor engineering team members, establish coding standards, and collaborate cross-functionally with Product, Design, and QA to deliver complex features and technical plans.
10 to 12 years of software development experience including architecture and integration.
Bachelor’s degree in Computer Science or equivalent work experience.
Proficient in Python with expertise in object-oriented programming; experience with React, JavaScript, CSS, HTML, and relational databases (Postgres, MySQL).
Experience with cloud (preferably AWS), containerization (Docker, Kubernetes), and knowledge of AI/LLM systems and AI assisted development workflows.
Experienced senior software engineer comfortable leading technical strategy for AI-native, enterprise-scale backend and full stack systems.
Strong hands-on developer capable of writing production-grade code and operating complex AI-powered features and infrastructure independently.
Able to drive technical decisions autonomously, mentor engineers, manage cross-team coordination, and thrive in fast-paced startup environments.