Software Engineer, AI Agents & Generative AI

Vantor Inc.; United States; On-site; USD 146,000 - 246,400; 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 Inc. is seeking to hire a candidate skilled in designing and developing AI-native software products that effectively utilize large-scale geospatial data. This position offers competitive pay ranging from $146,000 to $246,400 annually based on location, alongside benefits like a robust 401(k), mental health resources, and unique perks including student loan repayment assistance.

The ideal applicant must possess a Bachelor's degree and at least 7 years of experience in a related tech field, particularly with a focus on AI/ML. Candidates will be integral in working collaboratively in a dynamic environment to create innovative solutions.

Qualifications

• Bachelor's degree in Computer Science, Systems Engineering, Software Engineering, or related field.
• 7 years of proven experience in a relevant technology domain.
• Strong understanding of managing cloud-based data and machine learning pipelines.

Responsibilities

• Design and develop AI-native software products from geospatial data.
• Implement multi-agent workflows using orchestration frameworks.
• Integrate Large Language Models for contextual analysis.

Skills

Software engineering

AI/ML expertise

Cloud-based data management

Python

JavaScript

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

GCP

Job description

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).

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.
• 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.

Benefits

Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. More information can be found at https://www.Vantor.com/careers.

Pay Transparency

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.

Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.

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.