Software Engineer, AI Agents & Generative AI

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. The Software Engineer will design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights.

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:

• Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or a related field
• Must be a U.S. Citizen
• 3+ 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
• 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