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Senior specialized role but Tier-1 employer and Bangalore metro increase applicant competition.
Requires deep ML/LLM, vector DB and production AI experience, limiting transferability across non-ML roles.
Explicit 12-15 years and deep ML, cloud, and production LLM requirements enforce strict filtering.
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Lead design, development, and operation of enterprise-scale AI microservices, REST APIs, and platform features including RAG and multimodal LLM capabilities.
Own technical decision-making balancing reliability, performance, and cloud cost for AI systems across multiple initiatives.
Mentor engineers, guide contractors, run code reviews, enforce testing, and implement observability for AI-assisted development.
Bachelor’s degree in Computer Science, Computer Engineering, or related technical field.
12-15 years of experience with Python (preferred), Java, or Go; plus front-end experience with JavaScript/TypeScript.
Proven experience shipping production-scale AI applications incorporating LLMs, RAG, and AI services.
Strong cloud platform experience (AWS, GCP, or Azure) and containerization expertise (Docker, Kubernetes).
Experienced technical leader with a background in AI/ML system architecture, optimization, and scalable feature development.
Comfortable driving agile development and setting software quality standards in fast-paced environments involving internal and external teams.
Skilled in advanced AI orchestration frameworks, vector databases, and enterprise RAG architectures targeting large user bases.