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Niche agentic AI skills reduce applicant density despite mid-level experience and established financial employer.
Specialized agentic AI and multi-agent runtime expertise limits cross-industry transferability.
Explicit 6+ years, 2+ years AI/distributed exposure, plus mandatory Python, cloud, and containerization requirements.
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Develop and integrate multi-agent workflows and components for an agentic AI platform.
Build and support event-driven scalable agentic AI systems using cloud services (AWS, GCP, Azure).
Maintain code quality through testing, deployment, monitoring, troubleshooting, and documentation for agentic AI services.
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
6+ years overall software engineering experience with 2+ years in AI/ML, distributed systems, or agent-based architectures.
Proficient in Python and familiar with at least one additional programming language such as Java, Go, or C++.
Experience with cloud environments (AWS, GCP, or Azure), event-driven architectures, REST/gRPC APIs, microservices, and basic DevOps practices (CI/CD, containerization).
Experienced in agentic AI concepts including multi-agent workflows and agent frameworks like LangChain, LangGraph, Google ADK.
Comfortable working with cloud-native SRE/runtime engineering and event-driven distributed systems.
Capable of collaborating in agile teams with participation in code reviews, sprint planning, and documentation.