At Intuit, the business problem is to make complex compliance simple, transparent, and automated by reimagining the future of indirect tax by infusing AI into every layer of the QuickBooks Indirect Tax platform.
Requirements
- 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
- Exposure to observability tools
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
- Bachlore's or Master's degree in Computer Science, related technical field, or equivalent practical experience.
- Collaborative mindset with the ability to work across product, AI, and compliance
- Experience building production-grade systems
- Ability to work with various Intuit teams
- Ability to drive ongoing fair pay for employees
