Software Engineer, AI Agents & Generative AI

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.

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.

• 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, Lang Chain, Lang Graph
  ) 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 Dev Ops 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.

• 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, Java Script , or similar.

• 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.