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Specialized agentic AI role at a global firm in Bangalore yields moderate applicant competition.
Agentic AI and multi-agent engineering is transferable, but banking SRE and platform expectations moderately increase sensitivity.
Explicit 5–10 years plus mandatory cloud, Python, Kubernetes, and multi-agent expertise increases shortlisting strictness.
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Design, implement, and optimize complex agent orchestration and multi-agent workflows using frameworks like LangChain, Langraph, or GoogleADK.
Lead development and enhancement of event-driven architectures and maintain runtime components with high availability on hybrid/multi-cloud environments (AWS, Google Cloud, Azure).
Mentor junior engineers, conduct code reviews, improve deployment/monitoring/incident response processes, and collaborate cross-functionally.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
5–10 years of hands-on experience in designing, building, and deploying distributed or agentic systems.
Proficiency in Python plus familiarity with at least one modern programming language (Java, Go, C++).
Experience with event-driven/microservices/multi-agent architectures, cloud-native operations (AWS, Google Cloud, Azure), CI/CD, and container orchestration (Kubernetes).
Mid-career engineer with strong technical expertise in agentic AI system design and event-driven architectures.
Experienced in cloud-native development and multi-cloud operations across AWS, Google Cloud, and Azure.
Demonstrated ability to independently lead design and operational roles as well as mentor junior engineers within agile, cross-functional teams.