





Tier-1 brand and Bangalore location increase applicant density, but senior specialized AI focus limits broader competition.
Advanced LLM, vector DB, and cloud architecture requirements produce high domain specificity across industries.
Explicit 10+ years and mandatory cloud, LLM, vector DB, containerization, and leadership experience make filtering stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the design, architecture, and delivery of enterprise-scale AI software applications integrating LLMs, agent workflows, NLP, computer vision, and predictive analytics.
Lead cross-team initiatives with product and data science, establish AI architecture, technical vision, and standards for cost management, security, and observability.
Mentor and lead technical teams, communicate AI application strategy to stakeholders, and drive technical vision across multiple initiatives.
Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
10+ years programming experience including frontend frameworks (React, Vue, Angular) and multiple backend languages (Python preferred, Java, Node.js, or Go).
Proven experience designing and shipping production AI applications incorporating LLMs at scale.
Expertise with vector databases, multiple LLM providers, advanced AI orchestration frameworks, cloud platforms (AWS, GCP, Azure), and containerization (EKS).
Senior technical leader with 15+ years software development lifecycle experience including architecture design and large-scale system optimization.
Deep expertise in enterprise RAG architectures, semantic search, multi-modal AI integration, and AI observability and cost optimization at scale.
Experienced in cross-organizational collaboration, influencing product and technology roadmaps, and driving technical strategy and mentorship.