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Mid-level ML role, metro location, and broad GenAI integration requirements drive high competition.
Core ML and agentic engineering skills are transferable, but enterprise integrations add moderate domain specificity.
Explicit 4-year minimum plus specific GenAI, integration, API and cloud skills create strict screening.
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Lead technical enablement, integration, and continuous enhancement of advanced agentic AI platforms ensuring performance, scalability, and security.
Design, develop, and implement custom connectors and APIs to integrate diverse data sources and enterprise applications with agentic platforms.
Develop and optimize complex agent orchestration workflows, monitor platform reliability, and provide expert troubleshooting and lifecycle management.
Bachelor's or Master’s degree in Computer Science, Software Engineering, AI, Data Science, or related field.
Minimum 4 years of software engineering or platform development experience, with at least 1-2 years hands-on experience in Generative AI and Agentic AI.
Expert programming skills (e.g., Python, Java, Go) and deep experience in API design and custom connector development for enterprise systems.
Experience with major cloud platforms (preferably Google Cloud Platform), AI/ML tools, monitoring and observability setups; proficiency with agent orchestration frameworks.
Experienced engineering professional with a focus on scalable AI platform development and integration in enterprise environments.
Hands-on expertise with Generative AI and agentic AI frameworks such as LangChain or AutoGen for building intelligent automation solutions.
Capable of independently driving complex platform enhancements, collaborating cross-functionally, and mentoring junior engineers.