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Strong employer brand, metro location, and broad full-stack+AI requirements make candidate competition high.
Enterprise platform integrations and revenue-domain knowledge limit cross-industry transferability to a moderate degree.
Explicit 8–12 years requirement plus mandatory full-stack, Databricks and LLM integration skills increases selectivity.
Design, build, and deliver AI-enabled full-stack applications integrating React, Node.js, Python, Databricks, and enterprise platforms such as Salesforce CPQ/CLM, Anaplan, and Model N.
Own end-to-end delivery of AI automation solutions, improving process efficiency, data quality, and reducing manual effort within Contracting Operations and Revenue Management.
Provide technical leadership through design and code reviews, collaboration with architecture and AI platform teams, and managing implementation within a small team.
Bachelor’s or Master’s degree required.
8-12 years of experience in enterprise-grade AI-enabled full-stack software development with frontend, middleware, and backend expertise.
Proficiency in Python, JavaScript (React, Node.js), Databricks integrations, and cloud-based architectures.
Experience with generative AI technologies including LLMs, agentic workflows, and AI orchestration frameworks.
Senior engineer comfortable owning end-to-end solution delivery across multiple systems with responsibility from concept to implementation.
Experienced working in complex enterprise environments involving contract lifecycle, pricing, and revenue management domains.
Able to collaborate effectively across product, engineering, architecture, and business teams to translate operational challenges into scalable AI-driven technology solutions.