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Specialized AI/full-stack role with broad tech demands increases competition but remains role-specific.
AI and full-stack skills transfer across industries, but regulated banking experience increases domain specificity.
Many mandatory full-stack, AI, cloud, and DevOps skills imply strict technical filters.
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Design, build, integrate, and operate AI-enabled applications and agentic workflows using LLMs, RAG, and AI agents.
Develop full-stack solutions with Kotlin/Java (Spring Boot) backend and React/SolidJS frontend, exposing AI capabilities via secure APIs.
Manage cloud integrations with Azure services, build CI/CD pipelines, deploy, monitor, and iteratively improve AI production systems in a regulated banking environment.
Strong full-stack engineering experience with Kotlin/Java, Spring Boot, TypeScript, and React or similar frameworks.
Hands-on AI engineering experience including LLMs, prompting, retrieval-augmented generation, agents, and AI orchestration.
Practical knowledge of Microsoft Azure cloud services, DevOps (CI/CD, deployment, monitoring), and system integration via REST APIs and enterprise platforms.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in end-to-end delivery of AI-integrated software solutions in regulated or complex enterprise environments, preferably banking or fintech.
Operates with strong ownership and pragmatism to build, test, deploy and improve AI applications collaboratively with business and technical stakeholders.
Comfortable navigating ambiguity and rapidly evolving AI technologies, with ability to explain AI system behaviors and maintain secure, reliable production systems.