Vantor

Full-stack Engineer

• Developing web applications for real-time query and analysis of our petabyte-scale data store
• creating distributed analytics purpose-built to support our mission partners
• helping to construct new and maintain existing data pipelines tasked with automatically retrieving and ingesting data

Full Stack Software Engineer – TS/SCI

AI Research Scientist

• Design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence
• Build and operate end-to-end AI/ML pipelines including data ingestion, preprocessing, feature engineering, training, evaluation, and production inference
• Productionize reasoning models, vision-language models (VLMs), and multimodal AI systems that combine imagery, geospatial signals, and structured data
• Architect enterprise-grade training and experimentation frameworks, including automated pipelines, experiment tracking, benchmarking, and reproducible evaluation
• Create synthetic datasets and test harnesses to validate model performance, robustness, and edge-case behavior in real-world operational environments
• Work closely with domain experts, software engineers, product managers, and research partners to translate complex Earth intelligence challenges into deployable AI solutions
• Optimize models and inference systems for scalability, latency, cost efficiency, and reliability on modern cloud infrastructure
• Implement and maintain production inference systems, including monitoring, model versioning, retraining workflows, and performance tracking
• Stay current with the latest advances in foundation models, generative AI, multimodal learning, and reasoning systems, and translate research breakthroughs into practical systems
• Maintain high engineering standards through code reviews, documentation, experimentation discipline, and collaborative problem solving
• Help shape the next generation of Earth AI capabilities through collaboration with leading research organizations and technology partners.

Applied AI Scientist

Security Analyst

• Collaborate with threat analysts to identify and understand threats
• Investigate and analyze dark web and security-related events using cybersecurity toolsets
• Identify and respond to cyber threats in Vantor environments
• Write and compile threat research documents for stakeholders
• Communicate findings to technical and executive teams
• Follow up with Vantor teams through issue resolution

Cybersecurity Threat Intelligence Analyst

AI Engineer

• Design, develop, and deploy AI-native software products from geospatial data
• Implement multi-agent workflows using modern orchestration frameworks
• Integrate state-of-the-art Large Language Models for contextual analysis
• Engineer agents for dynamic tool use and iterative self-refinement
• Develop robust data ingestion and transformation layers
• Ensure secure and scalable integrations across cloud and enterprise environments
• Create feedback loops to improve model reliability
• Deploy and operate AI systems in production using modern DevOps practices
• Leverage AI development agents for software design and documentation
• Contribute to engineering standards and best practices for AI development

Staff AI Engineer, Insights

• 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)

Senior Staff AI Engineer, Insights

DevOps Engineer

• Act as a trusted technical advisor for USSF and USAF customers, translating mission needs into innovative, mission-ready solutions leveraging Vantor products and capabilities
• Partner with Product, Engineering, and Account Leads to align customer requirements with Vantor capabilities and product roadmaps
• Translate customer requirements into actionable product feature requests and participate in decomposition, scoping, and prioritization discussions with Product teams
• Lead and support technical discussions, solution workshops, product demonstrations, and technology validations that showcase Vantor’s value
• Ensure high levels of customer technical satisfaction throughout the pre-sales engagement process
• Provide customer and market feedback to inform product development, competitive positioning, and proposal strategies
• Represent Vantor as a technical subject matter expert in customer engagements and relevant Air Force and Space Force industry forums
• Support business development initiatives including technical contributions to white papers, RFP responses, and solution strategies for USSF/USAF opportunities
• Maintain awareness of the competitive landscape and ensure Vantor solutions are effectively positioned across customer missions and operational use cases.

Full Stack Software Engineer – TS/SCI

Applied AI Scientist

Cybersecurity Threat Intelligence Analyst

Staff AI Engineer, Insights

Senior Staff AI Engineer, Insights

Sales Deployment Engineer – USSF, USAF