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Remote role increases reach but niche ML-agent specialization limits broad applicant pool.
Highly domain-specific ML/AI agent skills limit transferability across industries.
Requires specific LLM, agent orchestration, and GCP skills but no explicit years requirement.
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Design, manage, and optimize AI agents that generate code, workflows, and business logic to accelerate development and align with business goals.
Validate, test, refactor, and productionize AI-generated code while continuously refining agent performance and output quality frameworks.
Integrate AI-driven solutions into the software development lifecycle with focus on mortgage and real estate workflows and establish best practices for multi-agent collaboration and orchestration.
Hands-on experience with LLM-based tools and AI-assisted or agent-driven system development and management.
Strong understanding of modern software development lifecycle (SDLC) incorporating AI acceleration techniques.
Experience with Google Cloud Platform (GCP) or comparable cloud environments.
Ability to review and validate generated code in multiple programming languages. Work Experience Required: Not explicitly mentioned in the JD.
Has expertise in system-level design of AI-driven workflows and engineering processes rather than just coding functions.
Demonstrated ability to improve development efficiency through AI integration and to build scalable, validated agent architectures.
Experience working with AI tools and platforms relevant to fintech, mortgage, or real estate domains is advantageous but not mandatory.