Architect and Develop Cutting-Edge Solutions : Design and implement comprehensive, end-to-end solutions for the Data AI platform, delivering seamless product experiences.
Integrate Generative AI into Workflows : Collaborate with cross-functional teams to embed generative AI capabilities into existing workflows.
Develop High-Performance APIs : Build and maintain scalable, reliable, and efficient API components that power document extraction systems.
Write Clear, Comprehensive Technical Documentation : Produce detailed, easy-to-understand technical documentation to support developers, stakeholders, and end-users.
Qualifications
Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred.
Have 3+ years of software engineering industry experience
Proficiency in building backend using technologies such as Python, Java, or Go.
Experience with cloud platforms (e.g. Azure)
Experience with AI/ML systems or large language models
Have hands-on experience working with large language models and prompt engineering