• Design, build, and maintain solutions in a mix of Python and Typescript codebases, in combination with a low-code/no-code environment • Develop web applications using React or Vue with TypeScript and component libraries, focusing on clean architecture and reusability • Build and maintain RESTful APIs with proper error handling, validation, authentication, and security best practices • Implement data retrieval and transformation pipelines using Python/Pandas from relational databases (MySQL, PostgreSQL) • Develop data ontologies and maintain relational data architecture in collaboration with a team of data scientists • Design efficient data flows, considering cost and performance tradeoffs with big data • Collaborate with various stakeholders to produce well-designed technical solutions, clarifying ambiguous requirements and making informed technology/design decisions aligned with user needs • Write maintainable, well-documented code; participate in code reviews and adhere to team development standards • Deploy and troubleshoot solutions in multiple environments (Docker, AWS, etc.) • Stay current with emerging AI technologies and evaluate tools (OpenAI, Anthropic, Google) for product enhancement • Rapidly learn and adopt new technologies and frameworks as project needs evolve • Collaborate with data scientists on AI/ML algorithms for trend prediction, issue detection, and data categorization • Integrate LLM-powered features and ML models into product workflows