AI Systems Engineer

• Design and manage agent-based development workflows
• Oversee AI-generated code: validate, test, refactor, and productionize
• Build systems to evaluate agent output quality and reliability
• Fine-tune prompts, tools, and pipelines to improve outcomes
• Integrate AI agents into the software development lifecycle (SDLC)
• Translate business problems (mortgage, real estate workflows) into AI-driven solutions
• Establish best practices for multi-agent collaboration and orchestration
• Monitor performance, cost, and accuracy of AI systems
• Work across product and business teams to identify automation opportunities

Requirements

• Hands-on experience with LLM-based tools and workflows (e.g., Anthropic Claude or similar)
• Experience building or managing AI-assisted or agent-driven systems
• Strong understanding of modern SDLC with AI acceleration
• Experience with Google Cloud Platform (GCP) or similar cloud environments
• Ability to review and validate generated code across multiple languages
• Experience with prompt engineering, evaluation loops, and model tuning
• Strong system thinking: can design workflows, not just write functions

Preferred Experience

• Experience with multi-agent systems and orchestration frameworks
• Familiarity with real estate or mortgage workflows (not required but valuable)
• Experience with vector databases, RAG pipelines, or knowledge systems
  • Exposure to tools like “antigravity”-style AI workflows or similar emerging platforms