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Mid-level fullstack AI role at a reputable employer in a metro increases applicant competition.
Full-stack and AI skills are transferable across industries but enterprise platform experience creates moderate domain bias.
Explicit 4-8 years plus mandatory full-stack, Databricks, and AI requirements make filters strict.
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Build and deliver AI-enabled full-stack applications integrating React, Node.js, Python, and Large Language Model APIs for Contracting Operations and Revenue Management platforms.
Develop and manage integrations using Databricks middleware to enable seamless data orchestration and support AI-driven workflow automation and assistant capabilities.
Partner with senior leaders to shape AI solution approaches and lead implementation across small teams, ensuring adherence to architectural standards and best practices.
Bachelor’s or master’s degree.
4-8 years of experience in developing enterprise-grade, AI-enabled full-stack applications including frontend, middleware, and backend layers.
Proficiency in Python, JavaScript, SQL/NoSQL, React, and experience with Databricks integrations and AI experimentation (LLMs, RAG, agent orchestration).
Work Experience Required: 4-8 years
Demonstrated capability in delivering scalable AI-driven automation and generative AI solutions within complex enterprise technology ecosystems.
Experience working with cloud AI services (e.g., Azure OpenAI), event-driven architectures, and AI orchestration frameworks for outcome-driven development.
Proven ability to collaborate cross-functionally and manage technical responsibilities in small teams focusing on iterative or Agile environments.