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Mid-level AI role in metro hubs with broad cloud and GenAI requirements increases qualified applicant density.
AI production and cloud microservices skills transfer well across industries.
Many mandatory skills and explicit 5+ years make filters strict.
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Develop and deliver AI-enabled microservices using Java (8/17+), Python or Node.js with Spring Boot on AWS, focusing on GenAI and AI-assisted tools.
Build and maintain agentic systems including AI gateways, model management (tiering/routing), orchestration, and observability addressing AI-specific production challenges like latency, cost control, and security.
Own CI/CD pipelines, container orchestration (Docker, Kubernetes), event-driven messaging (Kafka, SQS), databases (relational and NoSQL), and infrastructure as code to ensure robust, scalable AI services.
5+ years of overall IT domain experience.
Mandatory skills: Java (8 or above), Python or Node.js, Spring Boot microservices on AWS with hands-on AI or GenAI experience.
Educational Qualification: B.Tech./M.Tech or B.C.A./M.C.A.
Hybrid work model based in India with ability to work from Noida, Bengaluru, or Hyderabad office 4 days/week.
Experienced in architecting microservices and AI production systems with deep understanding of AWS compute, storage, messaging, and security services.
Proficiency in building complex AI agent systems and handling AI system operational challenges such as prompt-injection defense and semantic caching.
Practical knowledge of containerization, Kubernetes orchestration, CI/CD ownership, and event-driven architecture in production environments.