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Senior, niche GenAI role with broad full-stack demands in Bangalore at a moderately known employer, medium competition.
Requires deep GenAI, LLM, and cloud architecture expertise, limiting cross-industry transferability.
11+ years required plus specific GenAI, cloud, and vector DB skills enforce high shortlisting strictness.
Own architecture and technical vision for AI-powered applications using Python, React, and Generative AI technologies.
Design and implement scalable, secure backend platforms for LLM inference, RAG pipelines, and agent-based orchestration inclusive of frontend UX design for AI-native interfaces.
Lead complex GenAI workflow development, establish engineering standards, drive platformization initiatives and collaborate with cross-functional teams to translate business objectives into architectural solutions.
Total Experience: 11+ years in software engineering with strong expertise in Python.
Proven experience architecting and delivering production-grade Generative AI applications at scale with hands-on system design skills across backend, frontend, and AI infrastructure layers.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
Experience with cloud platforms (AWS/GCP/Azure), microservices, APIs (Python, FastAPI, Node.js), hybrid/cloud AI deployments, CI/CD, and enterprise architecture & solution design.
Demonstrated ability to translate complex, ambiguous business requirements into scalable, secure, and maintainable AI/ML technical architectures.
Experience leading technical strategy, mentoring engineering teams, conducting solutioning workshops and influencing senior stakeholders.
Familiarity with emerging AI research, AI governance, multi-cloud architecture, vector databases, agent-based AI orchestration, and AI-assisted development tools.