3 months ago
Base Salary
$144k - $216k/yr
Responsibilities
- Architect and lead development of production AI products, including intelligent chatbots, document processing systems, and agentic workflows.
- Design and implement centralized AI platform components for model routing, provider management, vector search, AI application frameworks, and MCP integrations.
- Build scalable AI products integrating with accounting systems, document repositories, external APIs, and diverse data sources.
- Implement context engineering, information retrieval, context assembly, and multi-turn conversation management.
- Maintain robust monitoring and observability while collaborating with Product, Engineering, and Security teams on compliant AI products.
- Provide technical guidance and mentorship to engineers and help establish AI development, deployment, and governance standards.
Requirements
- 7+ years of professional software engineering experience, including 3+ years focused on backend development for production applications.
- Strong Python proficiency and familiarity with AI application frameworks, context engineering, and scalable AI system design.
- Experience designing products that integrate with multiple technologies, APIs, and data sources in cloud-native environments; AWS is preferred.
- Experience or strong interest in LLM APIs, retrieval-augmented generation, conversational AI, document processing, and MCP integrations.
- Ability to own technical product initiatives, establish technical standards, and communicate complex designs to technical and business stakeholders.
- Preferred experience includes production chatbots, system integration, API design, enterprise software platforms, accounting workflows, AI observability, advanced RAG, reranking, RLHF, embedding pipelines, semantic search, and multimodal processing.
Benefits
- Medical, dental, vision, family-forming, life, and disability insurance.
- Unlimited vacation.
- Hybrid work arrangement is indicated by the posting.
- Additional total rewards and benefits are available, with offerings subject to change.
Categories
About FloQast
FloQast builds an accounting close and reconciliation platform for corporate finance teams, delivered as SaaS with AI-enabled workflow automation and compliance tools. It integrates with ERPs like NetSuite, Sage Intacct, and SAP to streamline month-end close, reconciliations, and reporting; notable customers include Lululemon, Chipotle, and Shopify. Founded in 2013 and headquartered in Sherman Oaks, California, the company is privately held.