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Tech Stack
Tools & technologiesAWSCloudPython
About the role
Key responsibilities & impact- Help architect, build, and scale the AI products that power our accounting automation platform.
- Contribute to the technical direction of AI across FloQast.
- Build AI applications to solve complex accounting workflow challenges.
- Collaborate with Product, Engineering, and Security teams to ensure AI products are robust and compliant.
- Provide technical guidance and mentorship to other engineers on the AI team.
Requirements
What you’ll need- 7+ years of professional software engineering experience with 3+ years focused on building backend for production applications
- Strong proficiency in Python, alongside familiarity with AI application frameworks, context engineering, and scalable system design for AI products
- Experience 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 own tech product initiatives, drive technical standards, and communicate complex system designs to both technical and business stakeholders.
Benefits
Comp & perks- FloQast is regularly rated as a Best Place to Work!
- Inc. Magazine’s Best Workplaces in 2025, 2024, 2023, 2022, and 2021
- Best Places to Work by LA Business Journal since 2017 (that’s 9 years!)
- Built In’s Best Place to Work in Los Angeles 7 years in a row!
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAI application frameworkscontext engineeringscalable system designLLM APIsretrieval-augmented generationconversational AIdocument processingMCP integrationsbackend development
Soft Skills
technical guidancementorshipcollaborationcommunicationownership of tech product initiativesdriving technical standards
