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Remote hiring, metro location and AI demand increase applicants, but niche agent skills moderate competition.
LLM and agent engineering skills are transferable across industries, yielding medium sensitivity.
Mandatory LLM, prompt engineering, and cloud skills create moderate candidate filtering.
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Design, manage, and optimize AI agent-based development workflows to generate code, workflows, and business logic aligned with fintech and real estate goals.
Validate, test, refactor, and productionize AI-generated code to ensure correctness, scalability, and quality.
Integrate AI agents into the software development lifecycle and establish best practices for multi-agent collaboration and performance monitoring.
Hands-on experience with large language model (LLM)-based tools and workflows such as Anthropic Claude or similar.
Experience building or managing AI-assisted or agent-driven systems within modern software development lifecycles (SDLC).
Knowledge of cloud platforms like Google Cloud Platform (GCP) or equivalents.
Ability to review and validate generated code across multiple languages and strong system thinking skills to design workflows.
Experienced in designing and managing AI-accelerated development processes with measurable impact on development cycle reduction.
Skilled in prompt engineering, evaluation loops, and model tuning for sustaining high-quality outputs from AI agents.
Comfortable working at the intersection of AI systems engineering and fintech domains, particularly with automation in real estate or mortgage workflows, even if domain expertise is not mandatory.