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Tier-1 brand, mid-level fullstack title, metro location, and broad AI+fullstack skills create high competition.
Core full-stack and AI skills transfer across industries, but Databricks and enterprise integrations require domain-specific experience.
Explicit years/degree bands and specific full-stack, GenAI and Databricks requirements make shortlisting strict.
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Build and deliver AI-enabled full-stack applications integrating frontend (React), backend (Node.js, Python), and middleware (Databricks) to support Contracting Operations and Revenue Management platforms.
Develop and manage AI-driven use cases such as workflow automation and assistant capabilities aimed at improving data quality, reducing manual effort, and increasing process efficiency.
Partner with senior leaders and cross-functional teams to shape solution approaches, ensure enterprise alignment, and own delivery from concept through implementation within a small team.
Master’s degree with 2-4 years experience OR Bachelor’s degree with 4-6 years experience.
Proficiency in full-stack development including Python, JavaScript (React, Node.js), SQL/NoSQL, and building scalable microservices.
Experience with developing AI-enabled applications including experimentation with GenAI, large language models, retrieval augmented generation, and AI orchestration frameworks.
Experience developing integrations using Databricks as middleware and working with APIs and event-driven architectures.
Experienced full-stack engineer with demonstrated ability to deliver scalable, AI-integrated enterprise applications involving multiple tech layers and platforms.
Comfortable operating within defined problem spaces and collaborating closely with leadership and cross-functional teams to drive AI-driven process optimizations.
Familiar with iterative/Agile development environments and progressively taking on complex technical responsibilities within team settings.