[Hiring] Principal Generative AI Engineer @Vantor

Role Description

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
• 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).

What You'll Do:

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• Competitive total rewards package that goes beyond the standard.
• Robust 401(k) with company match.
• Mental health resources.
• Unique perks like student loan repayment assistance, adoption reimbursement, and pet insurance.
• This position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved.