Intuit's QuickBooks Indirect Tax team is looking to infuse AI into their platform to simplify complex compliance, making it transparent and automated for millions of small businesses. They aim to build trustworthy AI systems that are expert-guided, explainable, and compliant by design.
Requirements
- experience building production-grade systems
- Strong proficiency in python, Java,or Kotlin, with a focus on backend and distributed systems
- Expereince developing cloud-native microservices, leveraging containers and orchestration (e.g., Docker, Kubernetes)
- Solid understanding in AI/ML integration including REST-based model consumption, LLM orchestration, or AI agents
- Solid understanding of data modeling, APIs, event streaming (Kafka/SQS), and SQL/NoSQL
- Solid understanding search algorithms
- Understanding LangChain, OpenAI APIs, or LLM-based system design
Responsibilities
- Desinging and developing high quality deliverables and Proof of Concepts (POCs), scalable backend services and APIs that power AI-driven features for Indirect Tax workflows
- Collaborate and work cross-functionally and effectivly with with various Intuit teams, including: product management, vaious projects.
- Resolve defects/ bugs during QA testing, pre-production, production, and post-release patches.
Other
- Collaborative mindset with the ability to work across product, AI, and compliance
- Exposure to observability tools
