Senior Software Engineer, AI

Location: San Jose, California, United States; Workplace: Hybrid

Company

hirify.global provides an AI-powered accounting transformation platform that automates recurring accounting workflows for more than 3,500 accounting teams.

What you will do

• Architect and develop production AI products, including intelligent chatbots, document processing systems, and agentic workflows.
• Design and implement a centralized AI platform with model routing, provider management, vector search, application frameworks, and MCP integrations.
• Build scalable AI products integrating accounting systems, document repositories, external APIs, and diverse data sources.
• Apply context engineering and system design to optimize information retrieval, context assembly, and multi-turn conversations.
• Collaborate with Product, Engineering, and Security on robust, compliant AI products for the regulated accounting sector.
• Provide technical leadership and mentorship while establishing AI development, deployment, monitoring, and governance standards.

Requirements

• 5+ years of professional software engineering experience, including 4+ years building backend production applications.
• Strong Python expertise and familiarity with AI application frameworks, context engineering, and scalable system design.
• Experience designing products that integrate multiple technologies, APIs, and data sources in cloud-native environments; AWS is preferred.
• Hands-on experience or strong interest in LLM APIs, retrieval-augmented generation, conversational AI, document processing, and MCP integrations.
• Ability to lead technical product initiatives, establish standards, and communicate complex designs to technical and business stakeholders.

Nice to have

• Production experience with chatbots or conversational AI products.
• Background in system integration, API design, enterprise software platforms, accounting workflows, or financial data processing.
• Experience with AI observability, debugging, production monitoring, advanced RAG, reranking, or retrieval optimization.
• Knowledge of reinforcement learning from human feedback or other reinforcement learning techniques.
• Experience building embedding pipelines, semantic search systems, or multimodal processing frameworks.

Culture & Benefits

• Values include authenticity, integrity, growth, collaboration, and customer obsession.
• Work in a hybrid environment with a growing AI team.
• Equal opportunity employment with fair and unbiased recruitment procedures.