Intuit Data Exchange (IDX) is looking for a Senior Development Manager to lead the development and management of large-scale services for their Document Comprehension platform, which uses AI, Generative AI, LLMs, and Agentic AI to extract information from financial documents, impacting hundreds of millions of Intuit customers.
Requirements
- Comfortable working in a Linux environment and Experience working with RAG technologies and LLM frameworks (Autogen, LangChain and LlamaIndex), LLM APIs, embedding models, and vector databases or architecting custom agentic frameworks.
- 1+ years of experience in data mining algorithms and statistical modeling
- 8-12 years of hands on software development experience in cloud technologies (AWS), machine learning concepts, micro services development, version control systems (i.e. Git, Github), workflows and GenAI technologies
- 5+ years of strong experience leading design and implementation of robust and highly scalable and distributed platforms
- 2+ years of industry experience with AI science.
- Experience with Agile development and methodologies and SaaS technologies
Responsibilities
- Oversee the deployment of AI models into production, ensuring scalability, reliability, and performance.
- Monitor model performance post-deployment and implement necessary adjustments or retraining.
- Drive technical leadership, delivering cutting-edge capabilities that can scale to hundreds of millions of Intuit customers.
- Lead the development of our data exchange, document comprehension platforms, ensuring that they are scalable, reliable, and secure.
- Collaborate with cross-functional teams to identify opportunities for innovation and drive the development of new features and capabilities.
- Write production-ready code, deploying highly scalable software supporting millions or more users.
Other
- Build high performing teams by putting the right people in the right job at the right time.
- Embrace new ideas that produce outstanding results for our customers.
- Help to bring out the best ideas from the best engineers by empowering them and leading by example.
- Create shared vision and build and maintain strong cross-functional relationships / alignment with partners across the business (e.g. Program Mgmt, Business Analyst, and Product Management).
- Cross-Functional Collaboration - Partner with cross-functional stakeholders to define problems, frame hypotheses, and translate business needs into data science projects with measurable impact.
