AI Software Engineer

Vantor Holdings, Inc.; Herndon (VA); On-site; USD 95,000 - 140,000; Full time

Benefits offered by this job

401(k) with company match

Mental health resources

Student loan repayment assistance

Adoption reimbursement

Pet insurance

Incentive eligible

Job summary

Vantor Holdings, Inc. is seeking an experienced Software Engineer to design and deploy AI-native products that transform large-scale geospatial data into actionable intelligence.

You will implement multi-agent workflows and integrate state‑of‑the‑art LLMs to power context-rich analysis and adaptive decision-making. You will build scalable data ingestion layers, ensure secure cloud integrations, and contribute to AI-first development standards, with an opportunity to shape product direction in a

Qualifications

• Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or related field.
• 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 cloud-based data and machine learning pipelines (AWS or GCP).
• Significant software development experience with Python, JavaScript, or similar.

Responsibilities

• Design, develop, and deploy AI-native software products transforming large-scale geospatial data into actionable intelligence.
• Implement multi-agent workflows using orchestration frameworks to enable autonomous reasoning, planning, and execution.
• Integrate state-of-the-art LLMs to power contextual analysis and adaptive decision-making.
• Engineer agents capable of dynamic tool use, structured reasoning, and iterative self-refinement.
• Develop robust data ingestion and transformation layers for pattern-of-life, detection, and predictive analytics.
• Ensure secure, scalable integrations across cloud and enterprise environments.
• Create feedback loops and reinforcement mechanisms to improve model reliability and trustworthiness.
• Deploy and operate AI systems in production using modern DevOps practices.
• Leverage AI development agents as force multipliers for software design, testing, and documentation.
• Contribute to shared engineering standards and best practices for AI-first development.

Skills

Vector databases

Embeddings

RAG architectures

Distributed systems design

AI for team velocity

Communication

Education

Bachelor's degree in CS/Eng or related

Job description

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:

Insightsisredefining how the world understandswhat’shappening on Earth. We are an AI-native, agentic intelligence platform built from the ground up tooperateat planetaryscale –transforming vast streams of geospatial data into predictive signals that matter. Powered bycutting-edgeGoogle Cloud infrastructure, frontier Gen AI models, and collaboration with Google Research on next-generation Earth AI, we are pushing the boundaries ofhow AI can help enterprisesee, 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 customersoperatingin high‑stakes environments. This is not incremental AI–this isintelligence 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.
• Integratestate-of-the-artLarge 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 andoperateAI systems in production using modern DevOps practices (containerization, orchestration, CI/CD).
• Leverage AI development agents (e.g., Codex, Gemini CLI, Claude Code) as forcemultipliers 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 inComputer Science, Systems Engineering, SoftwareEngineering, or a related field. Advanced degrees are preferred but notrequired.
• Must be a U.S. Citizen
• 7 years of proven experience in a relevant technology domain, with preference forSoftware engineer and AI/ML
• ‘Strong understanding of technical concepts related to managing cloud-based data and machine learning pipelines (e.g., AWSor GCP)
• Significant software development experience withPython, JavaScript, or similar

Preferred Skills

• Familiarity with vector databases, embeddings, and retrieval-augmentedgeneration(RAG)architectures.
• Knowledge of distributed systems design and high‑availability architectures supporting global‑scale workloads.
• Leverages AI for team velocityand upskilling, including using AI‑assisted development heavily, prototyping quickly, automating repetitive engineeringtasksand 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:

The base pay for this position within the Washington, DC metropolitan area is: $95,000.00 - $127,000.00 - $139,700.00 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.

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.