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Senior, specialized AI role in Bengaluru at a well-known portfolio company increases candidate density moderately.
AI/ML skills are transferable across industries, but specialized GenAI and cloud requirements increase domain specificity.
Explicit 8+ years, required AWS/Azure and extensive GenAI production experience create strict mandatory filters.
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Design, build, and deploy production AI/ML features including GenAI integrations, agentic workflows, RAG and GraphRAG systems within Operating Companies' modernized applications.
Lead technical design, quality, and implementation of cloud-native, scalable, secure AI services including LLM orchestration, prompt engineering, guardrails, and evaluation for reliable production AI.
Partner with Technical Lead/Architect and mentor team members to raise AI engineering standards and deliver dependable AI-native product features with clear operational ownership.
8+ years in software engineering with hands-on experience implementing ML/AI features in production.
Experience designing and building cloud-native applications on AWS or Azure (GCP alone not acceptable).
Proven applied AI/ML skills with GenAI capabilities (RAG, LLM orchestration, prompt engineering, guardrail design) and/or ML production features.
Bachelor’s degree in Computer Science or related technical field, or equivalent practical experience.
Senior full-stack engineer with deep expertise in AI/ML production implementation, comfortable working with GenAI frameworks (LangChain, LlamaIndex) and multi-agent systems.
Experienced in applying engineering best practices such as domain-driven design, clean code, test-driven development, and DevSecOps in a cloud-native, AI-assisted development environment.
Effective collaborator who thrives in small, autonomous, AI-native teams with real product ownership and rapid iterative delivery.