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Popular full-stack title and 3-5 year band increase competition despite niche AI and data platform needs.
Generative AI and enterprise data platform requirements limit cross-industry transferability.
Multiple mandatory tech stacks plus explicit 3-5 year requirement increase shortlisting rigidity.
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Design, develop, and maintain full-stack applications with modern frontend and backend technologies focusing on scalable APIs and services on Snowflake, BigQuery, LookML, and similar platforms.
Develop and integrate end-to-end Generative AI solutions including copilots, assistants, semantic search, summarization, and workflow automation, leveraging LLMs and AI services.
Collaborate cross-functionally with Product, Data Engineering, Analytics, and AI teams to design scalable, secure, and maintainable application architectures optimizing for performance, reliability, and user experience.
Bachelor's degree in Computer Science, Engineering, or related field.
3-5 years of experience in Full Stack Software Development.
Strong programming skills in Python and JavaScript, with experience in React or similar frontend frameworks and FastAPI or similar backend frameworks.
Experience with Snowflake, BigQuery, Looker/LookML or equivalent data analytics platforms and cloud platforms such as GCP or AWS.
Experienced in microservices-based application development with end-to-end ownership from frontend to backend including API design.
Demonstrated expertise in building and integrating Generative AI applications using LLMs and AI APIs within enterprise data ecosystems.
Comfortable working in Agile environments, contributing to engineering best practices, and collaborating across multiple tech disciplines including AI, data engineering, and analytics teams.