Software Engineer, AI Agents & Generative AI

About this role

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, fron tier 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   i ntelligence 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 ,  d etection , 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  

• 7 years of proven experience in a relevant technology domain, with preference for   Software engineer and A I/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  

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role. ● The base pay for this position within Colorado is: $146,000.00 - $195,000.00 - $214,500.00 annually.

● The base pay for this position within New Jersey is: $146,000.00 - $195,000.00 - $214,500.00 annually.

● The base pay for this position within Delaware is: $146,000.00 - $195,000.00 - $214,500.00 annually.   ● The base pay for this position within the Washington, DC metropolitan area is: $161,000.00 - $215,000.00 - $236,500.00 annually.

● The base pay for this position within California is: $168,000.00 - $224,000.00 - $246,400.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimb

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