AI Software Engineer

MAXAR TECHNOLOGIES, 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

Job summary

Vantor is hiring for an AI-enabled software engineer to design, develop, and deploy AI-native products that transform geospatial data into actionable intelligence. You will implement multi-agent workflows, integrate state-of-the-art language models, and build scalable data ingestion layers to support predictive analytics.

Strong cloud experience and Python/JavaScript skills are required. Candidates should have 7+ years in relevant tech domains, U.S.

Qualifications

• Bachelor's degree or higher in CS/engineering or related field.
• 7 years of proven experience in a relevant tech domain.
• U.S. Citizen status required.
• Strong experience with Python/JavaScript and cloud data pipelines.

Responsibilities

• Design, develop, and deploy AI-native software for geospatial data.
• Implement multi-agent workflows using orchestration frameworks.
• Integrate large language models for contextual analysis and decision-making.
• Develop data ingestion and transformation layers for analytics.
• Ensure secure, scalable integrations across cloud and enterprise environments.
• Deploy and operate AI systems in production with DevOps practices.

Skills

Python

JavaScript

AI/ML concepts

Cloud data pipelines

Distributed systems

Education

Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or related field

Advanced degrees preferred

Tools

LangChain

LangGraph

Google Cloud

AWS

GCP

Job description

Team Overview

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.

Pay Transparency

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 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

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

to support all aspects of your life.

You can find more information on our benefits at: https://www.Vantor.com/careers

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.

We also provide reasonable accommodations for applicants with disabilities in compliance with federal and state laws.