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

Requirements

Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or a related field
2+ years of proven experience in a relevant technology domain
Strong understanding of managing cloud-based data and machine learning pipelines (e.g., AWS or GCP)
Significant software development experience with Python, JavaScript, or similar

Benefits

robust 401(k) with company match
mental health resources
student loan repayment assistance
adoption reimbursement
pet insurance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI-native software developmentmulti-agent workflowsLarge Language Modelsdata ingestiondata transformationDevOps practicesPythonJavaScriptcloud-based data managementmachine learning pipelines

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Systems EngineeringBachelor's degree in Software Engineering