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

7 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

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: $150,000.00 - $200,000.00 - $220,000.00 annually.

● The base pay for this position within New Jersey is: $150,000.00 - $200,000.00 - $220,000.00 annually.

● The base pay for this position within Delaware is: $150,000.00 - $200,000.00 - $220,000.00 annually.

● The base pay for this position within the Washington, DC metropolitan area is: $165,000.00 - $220,000.00 - $242,000.00 annually.

● The base pay for this position within California is: $150,000.00 - $200,000.00 - $220,000.00 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 reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

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

7 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

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