Software Engineer, AI Agents & Generative AI

About the role

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. This is a mission-driven position where you can shape your own future, build the next big thing, and change the world.

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.
• Create 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.

Requirements

• 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.
• 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.
• 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.

Qualifications

• 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.
• 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.
• 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.

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.
• Excellent communication and interpersonal skills.

Benefits

• A robust 401(k) with company match.
• Mental health resources.
• Student loan repayment assistance.
• Adoption reimbursement.
• Pet insurance.

Pay

• The base pay for this position within Colorado is: $146,000.00 - $195,000.00 - $214,500.00 annually.
• The base pay for this position within New Jersey is: $146,000.00 - $195,000.00 - $214,500.00 annually.
• The base pay for this position within Delaware is: $146,000.00 - $195,000.00 - $214,500.00 annually.
• The base pay for this position within the Washington, DC metropolitan area is: $161,000.00 - $215,000.00 - $236,500.00 annually.
• The base pay for this position within California is: $168,000.00 - $224,000.00 - $246,400.00 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.

Schedule

• This is a full-time position.

Location

• Remote work is available.

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.