Principal Software Engineer, AI Agents & Generative AI

Vantor is forging a new frontier of spatial intelligence through an AI-native, agentic intelligence platform that transforms geospatial data into predictive signals. The Principal Software Engineer will design, develop, deploy, and operate AI-native software products using multi-agent workflows, large language models, scalable data pipelines, and modern DevOps practices.

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

Requirements:

• To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee
• Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or a related field
• Must be a U.S. Citizen
• 7 years of proven experience in a relevant technology domain
• ‘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
• Advanced degrees are preferred but not required
• preference for Software engineer and AI/ML
• 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