3b‐5 Notes - terrytaylorbonn/auxdrone GitHub Wiki

26.0402 Lab notes (Gdrive) Git

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3b-5 Jobs

This page posts notes (job ads).. the main goal is to get an idea of what's happening in the field. Whats being used.

Vantor 26.0331

JOB SUMMARY: " 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"

https://www.linkedin.com/jobs/view/4380967475/?trk=eml-email_jobs_qualification_board-JOBS_POSTING_SECTION_1-0-job_card_3_fmid_taa2~mnf6w4if~3q

is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next.

image

About the job 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. 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. Minimum Qualifications • 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 • 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 Preferred Skills • 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




Notes

In 2024-2025 I did agentic demos (mainly LangChain). In 2026 I am shifting my focus back to agentic AI, but with a new "twist". Right now (while in Taiwan) mainly planning out strategy with GPT.

2 recent (draft, WIP) Substack posts about agents in AIP:

MISSING AGENTIC LINKS (there are probably more):

YTs, articles:

DEMO. ANALYZE. DOCUMENT. REPEAT.
26.0417 About the author, Substack, Lab notes (Gdrive), Git, Youtube, ZiptieAI.com, Deployments

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