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Vantor

AI-powered multi-source geospatial intelligence platform

AI Software Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeHerndon, VA, USA$95k - $127k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or a related field is required; advanced degrees are preferred but not required.
  • Must be a U.S. citizen.
  • Seven years of proven experience in a relevant technology domain, preferably in software engineering and AI/ML.
  • Strong understanding of technical concepts related to managing cloud-based data and machine learning pipelines, such as AWS or GCP.
  • Significant software development experience with Python, JavaScript, or a similar language.
  • Familiarity with vector databases, embeddings, and retrieval-augmented generation architectures is preferred.
  • Knowledge of distributed systems design and high-availability architectures supporting global-scale workloads is preferred.
  • Experience leveraging AI-assisted development to improve team velocity and upskilling, prototype quickly, automate repetitive engineering tasks, and accelerate development is preferred.
  • Ability to work independently and collaboratively with remote or geographically distributed teams is preferred.
  • Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously is preferred.

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 such as Google ADK, LangChain, and LangGraph to enable autonomous reasoning, planning, and execution.
  • Integrate large language models such as GPT-4, Claude, and Gemini 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, including containerization, orchestration, and continuous integration/continuous delivery.
  • Use AI development agents such as Codex, Gemini CLI, and Claude Code for software design, implementation, testing, and documentation.
  • Contribute to shared engineering standards, documentation, and best practices for AI-first development.

Desired Qualifications

  • Advanced degrees are preferred but not required.
  • Familiarity with vector databases, embeddings, and retrieval-augmented generation architectures.
  • Knowledge of distributed systems design and high-availability architectures supporting global-scale workloads.
  • Leverage AI-assisted development heavily to improve team velocity and upskilling, prototype quickly, automate repetitive engineering tasks, and move faster than traditional software engineering teams.
  • Ability to work independently and collaboratively with remote or geographically distributed teams.
  • Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously.

About the Company

Vantor

AI-powered multi-source geospatial intelligence platform

Vantor provides an AI-powered spatial intelligence platform that creates a real-time, unified picture from space, air, and ground sensors. Its Tensorglobe data engine fuses satellite imagery, drone feeds, and ground sensors to build a living 3D digital Earth and automates the entire intelligence cycle from tasking to analysis. Key products include WorldView for high-resolution imagery tasking, Raptor for GPS-denied navigation, and Sentry for automated site monitoring. Unlike competitors that mainly sell raw imagery, Vantor offers an integrated, subscription-based geospatial workflow and digital twin as a service, helping defense, intelligence, and commercial customers make faster, more informed decisions through a shared AI-ready view of the world.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Juan, Puerto Rico
Founded
1957

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