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Mid-level GenAI role in Bangalore with broad cloud and AI requirements increases applicant competition.
Role requires specialized agentic AI and multi-agent expertise, limiting cross-industry transferability.
Explicit 5–10 years plus mandatory ML, cloud, and orchestration skills enforce strict filtering.
Design, implement, and optimize complex agent orchestration and multi-agent workflows using frameworks like LangChain, Langraph, or Google ADK.
Lead event-driven architecture development and enhancements; operate and troubleshoot runtime components to ensure high availability and reliability.
Drive improvements in deployment, monitoring, and incident response across hybrid and multi-cloud environments (AWS, Google Cloud, Azure); mentor junior engineers and contribute to platform documentation.
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 and familiarity with at least one additional modern programming language (Java, Go, or C++).
Experience with event-driven, microservices, or multi-agent architectures, cloud-native development on AWS/Google Cloud/Azure, CI/CD pipelines, container orchestration (Kubernetes), and agile methodologies.
Mid-career engineer with strong technical ownership of agentic AI platforms and multi-agent orchestration.
Experienced in cross-functional collaboration and technical mentoring within agile environments.
Comfortable operating in hybrid and multi-cloud infrastructures with a focus on event-driven and microservices architectures.