Principal Generative AI Engineer

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can:
Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Export Control/ITAR:
Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).Please review the job details below.

We're an AI-native, agentic intelligence platform built from the ground up to operate at planetary scale — transforming vast streams of geospatial data into predictive signals that matter. Powered by cutting-edge Google Cloud infrastructure, frontier Gen AI models, and collaboration with Google Research on next-generation Earth AI, we're pushing the boundaries of how AI can help enterprises see, reason about, and act.

Our mission is clear: deliver decision superiority in moments that matter. From national security to global enterprise operations, our platform provides contextual spatial awareness and anticipatory threat detection for customers operating in high-stakes environments. This is not incremental AI — this is intelligence engineered for global impact.

What You'll DoBuild AI-native products that transform large-scale geospatial data into actionable intelligence and mission-critical insights.

Design multi-agent workflows using modern orchestration frameworks (e.g., Google ADK, Lang Chain, Lang Graph) to enable autonomous reasoning, planning, and execution.

Integrate state-of-the-art LLMs (GPT-4, Claude, Gemini, and others) 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 supporting pattern-of-life analysis, detection, anomaly identification, and predictive analytics.

Ensure secure, scalable integrations across cloud and enterprise environments.

Create feedback loops and reinforcement mechanisms that iteratively improve model reliability and operational trustworthiness.

Deploy and operate AI systems in production using modern Dev Ops practices — containerization, orchestration, and CI/CD.Leverage AI development agents (e.g., Codex, Gemini CLI, Claude Code) as force multipliers for design, implementation, testing, and documentation.

Contribute to shared engineering standards, documentation, and best practices for AI-first development.

Minimum Qualifications Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or a related field. Advanced degrees preferred but not required.

Must be a U.S. Citizen.
7+ years of proven experience in a relevant technology domain, with preference for software engineering and AI/ML.Strong understanding of technical concepts related to managing cloud-based data and machine learning pipelines (e.g., AWS or GCP).Significant software development experience in Python, JavaScript, or similar languages.

Preferred Skills Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) architectures.

Knowledge of distributed systems design and high-availability architectures supporting global-scale workloads.

Leverages AI for team velocity and upskilling — using AI-assisted development heavily, prototyping quickly, automating repetitive…