Principal Generative AI Engineer

Vantor

6d • $135,000 - $227,700 • Remote

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.
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.

Requirements

• 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.

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 — using AI-assisted development heavily, prototyping quickly, automating repetitive engineering tasks, and moving faster than traditional software teams.
• Excellent communication and interpersonal skills.
• Ability to work independently and collaboratively with remote and geographically distributed teams.
• Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously.

Responsibilities

• Build 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, LangChain, LangGraph) 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 DevOps 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.

Benefits

• Robust 401(k) with company match
• Mental health resources
• Student loan repayment assistance
• Adoption reimbursement
• Pet insurance
• Incentive eligible with a target based on contribution, company performance, and/or individual results achieved

What This Job Offers

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