Staff AI Engineer, Insights

Vantor • Herndon, VA

1d • $102,000 - $170,000

About The Position

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. Team Overview: 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.

Requirements

• 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
• 2+ 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

Nice To Haves

• 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

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.

Benefits

• Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life.
• You can find more information on our benefits at: https://www.Vantor.com/careers

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level