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Tier-1 employer and Bengaluru metro raise density, but niche AI agent specialization limits generalist applicants.
Requires specialized LLM, RAG, and AI orchestration expertise, reducing cross-industry transferability.
Multiple mandatory technical and leadership requirements (LLMs, cloud, K8s, production AI) make filtering stringent.
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Lead architecture, development, and lifecycle management of AI platform and its supporting infrastructure.
Design, deploy, and maintain AI agents, MCP servers, and integrate LLM/generative AI capabilities into products with focus on scalable, secure, and enterprise-ready workflows.
Own full stack responsibilities from architectural design to production support and drive technical reviews, Agile practices, and observability for AI features.
Bachelor’s degree in Computer Science, Computer Engineering, or related technical field.
6+ years experience with at least one programming language (Python preferred, Java, or Go) plus front-end experience with JavaScript/TypeScript.
Proven experience shipping production applications using LLMs, MCPs, or AI services at scale and leading technical teams including external contractors.
Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
Senior technical leader capable of balancing high-level system design with hands-on implementation and production support.
Experienced in architecting AI-native applications with skills in AI agent development, retrieval-augmented generation, and context management.
Comfortable managing cross-functional teams and external partners while driving technical strategy, code quality, and delivery execution in an Agile environment.