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Metro Bangalore, multi-skill backend+AI requirements, and a known enterprise brand increase competition.
Skills (backend, APIs, LLM integration) are transferable across industries but favor enterprise SaaS context.
Explicit 8+ years requirement plus mandatory backend, LLM integration, and cloud/CICD skills creates strict filters.
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Own end-to-end development delivery of one high-complexity or strategic AI productization project, covering REST APIs, frontend wiring, feature logic, and AI integration.
Make implementation decisions, contribute to design reviews, and escalate architectural or cross-cutting concerns appropriately.
Leverage AI coding tools to accelerate delivery with a high quality bar while mentoring junior engineers and providing feedback to platform/horizontal teams.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
8+ years of software engineering experience focused on backend or full-stack production development.
Expert-level skills in Java, Python, or TypeScript; strong REST API design, SQL and NoSQL database modeling; working knowledge of frontend frameworks like React.
Working understanding of LLM APIs and AI feature integration (prompt invocation, streaming, retries, fallbacks).
Experienced in shipping end-to-end production features with strong CI/CD, testing, and observability practices in enterprise or regulated software environments.
Comfortable partnering with AI specialists and collaborating on AI architectural design and algorithmic decisions.
Ability to lead feature areas or small teams with hands-on AI-native software engineering skills and familiarity with cloud infrastructure like AWS.