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Popular mid-level ML/AI role with broad cloud and agentic skillset in a metro hub increases applicant competition.
Core ML/AI and cloud skills transfer across industries, but agentic specialization moderately narrows fit.
Mandatory 2+ years AI exposure plus specific agent frameworks, cloud, and DevOps skills raise filtering strictness.
Develop and integrate multi-agent workflows and platform components under guidance of senior AI engineers.
Build and support event-driven architectures and scalable agentic AI systems in cloud and on-prem environments.
Maintain code quality through testing, documentation, deployment support, and participation in agile team processes.
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
0–7 years software engineering experience, including 2+ years in AI/ML, distributed systems, or agent-based architectures.
Proficient in Python and familiar with at least one additional modern programming language (e.g., Java, Go, C++).
Experience with event-driven architectures, REST/gRPC APIs, microservices, and cloud environments (AWS, GCP, or Azure).
Early-career professional with demonstrated interest or project experience in multi-agent AI systems and workflows.
Comfortable working in agile team environments with engagement in code reviews, sprint planning, and collaborative processes.
Practical experience or coursework in agent orchestration frameworks (e.g., LangChain, LangGraph) and cloud DevOps practices.