Senior Generative AI Engineer - Spatial Intelligence

MAXAR TECHNOLOGIES, INC.

Westminster (CO)

On-site

USD 135,000 - 198,000

Full time

3 days ago
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Benefits offered by this job

401(k) match
Mental health resources
Student loan repayment
Adoption assistance
Pet insurance

Job summary

Vantor is seeking an experienced AI/ML software engineer to build AI-native products that transform geospatial data into actionable intelligence. You will design multi-agent workflows using LangChain/LangGraph, and integrate GPT-4, Claude, Gemini to enable autonomous reasoning and adaptive decision-making.

You will develop scalable data ingestion and transformation layers, ensure secure cloud integrations, and deploy AI systems with modern DevOps practices.

Qualifications

  • Bachelor's degree in CS/Systems/Software Eng or related field.
  • 7+ years of proven experience in a relevant technology domain, with preference for software engineering and AI/ML.
  • Strong understanding of cloud-based data and machine learning pipelines (AWS or GCP).
  • Significant software development experience in Python, JavaScript, or similar languages.

Responsibilities

  • Build AI-native products that transform large-scale geospatial data into actionable intelligence and mission-critical insights.
  • Design 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 LLMs (GPT-4, Claude, Gemini, and others) 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 supporting pattern-of-life analysis, detection, anomaly identification, and predictive analytics.
  • Ensure secure, scalable integrations across cloud and enterprise environments.
  • Create feedback loops and reinforcement mechanisms that iteratively improve model reliability and operational trustworthiness.
  • Deploy and operate AI systems in production using modern DevOps practices — containerization, orchestration, and CI/CD.
  • Leverage AI development agents (e.g., Codex, Gemini CLI, Claude Code) as force multipliers for design, implementation, testing, and documentation.
  • Contribute to shared engineering standards, documentation, and best practices for AI-first development.

Skills

Python
JavaScript
Cloud (AWS/GCP)
ML engineering
Distributed systems
Vector databases
Embeddings
RAG architectures
Communication

Education

Bachelor's degree in CS/Systems/Software Eng

Tools

Google ADK
LangChain
LangGraph

Job description

Vantor is seeking an experienced AI/ML software engineer to build AI-native products that transform geospatial data into actionable intelligence. You will design multi-agent workflows using LangChain/LangGraph, and integrate GPT-4, Claude, Gemini to enable autonomous reasoning and adaptive decision-making.

You will develop scalable data ingestion and transformation layers, ensure secure cloud integrations, and deploy AI systems with modern DevOps practices.

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