• Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights • Implement multi-agent workflows using modern orchestration frameworks (e.g., Google ADK, LangChain, LangGraph) to enable autonomous reasoning, planning, and execution • Integrate state-of-the-art Large Language Models (GPT-4, Claude, Gemini, etc.) to power contextual analysis, hypothesis generation, and adaptive decision-making • Engineer agents capable of dynamic tool use, structured reasoning, and iterative self-refinement to improve insight quality over time • Develop robust data ingestion and transformation layers to support pattern-of-life, detection, anomaly identification, and predictive analytics • Ensure secure, scalable integrations across cloud and enterprise environments • Create feedback loops and reinforcement mechanisms to iteratively improve model reliability and operational trustworthiness • Deploy and operate AI systems in production using modern DevOps practices (containerization, orchestration, CI/CD)