About Vantor
Vantor is forging the new frontier of spatial intelligence to unlock a more autonomous, interoperable world. We help 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.
Team Overview: Insights
Insights is redefining how the world understands what’s happening on Earth. We are 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 are pushing the boundaries of how AI can help enterprise see, reason about, and act on.
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.
Responsibilities
- 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).
- Leverage AI development agents (e.g., Codex, Gemini CLI, Claude Code) as force multipliers for software 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 are preferred but not required.
- Must be a U.S. Citizen.
- 3+ years of proven experience in a relevant technology domain, with preference for Software engineer 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 with Python, JavaScript, or similar.
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, including using AI-assisted development heavily, prototyping quickly, automating repetitive engineering tasks and moving faster than traditional SWE teams.
- Excellent communication and interpersonal skills.
- Ability to work independently and collaboratively with remote and/or geographically distributed teams.
- Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously.