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Tier-1 brand, mid-level fullstack+AI role, metro location, and broad skill requirements drive high competition.
Full-stack and GenAI skills are broadly transferable, though enterprise platform integrations add moderate domain specificity.
Explicit 4-6 years plus mandatory full-stack, Databricks and GenAI experience increases shortlisting strictness.
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Build and deliver AI-enabled full-stack applications focusing on Contracting Operations and Revenue Management platforms.
Develop and manage integrations using Databricks middleware to enable data and service orchestration for scalable enterprise solutions.
Collaborate with senior leaders and cross-functional teams to implement AI-driven workflow automation and ensure adherence to enterprise standards.
Master’s degree with 2-4 years OR Bachelor’s degree with 4-6 years of experience in software engineering.
Proficient full-stack development skills using Python, JavaScript (React, Node.js), and SQL/NoSQL databases.
Experience with AI experimentation, generative AI systems (LLMs, RAG), and integrations using Databricks as middleware.
Work Experience Required: 2-6 years depending on educational qualification.
Experienced in developing enterprise-grade AI-enabled, automation-driven full-stack applications across frontend, middleware, and backend.
Comfortable operating within defined problem spaces while guiding small teams and collaborating with senior leadership.
Familiar with AI orchestration frameworks, event-driven architectures, and working in Agile/iterative development environments.