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Well-known firm, metro location, and mid-level experience band increase applicant competition.
Agentic AI expertise is specialized but cloud and programming skills remain transferable across industries.
Explicit years, required AI/agent frameworks, cloud and DevOps skills make screening strict.
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Collaborate with senior AI engineers to design and build agentic AI workflows and platform components using agent frameworks like LangChain or GoogleADK.
Assist in developing event-driven, scalable multi-agent AI systems deployed on cloud platforms such as AWS, Google Cloud, and Azure.
Support deployment, monitoring, troubleshooting, and code quality assurance including unit and integration testing in cloud and on-prem environments.
Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
0–7 years of software engineering experience, with 2+ years in AI/ML, distributed systems, or agent-based architectures.
Proficiency in Python and familiarity with at least one additional language (Java, Go, or C++).
Experience with event-driven architectures, REST/gRPC APIs, microservices, cloud app development (AWS, GCP, Azure), and basic DevOps including CI/CD and containerization (Docker/Kubernetes).
Early-career professional with foundational exposure to agentic AI frameworks and multi-agent systems.
Comfortable working closely with senior engineers in a development and support capacity within cloud-based and on-premise environments.
Demonstrates practical skills in programming, system integration, and operational reliability in event-driven AI architectures.