Principal Software Engineer, AI Agents & Generative AI

Responsibilities

• Design, develop, and deploy AI-native software products that transform large-scale geospatial data into actionable intelligence and mission-critical insights.

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 , d etection , 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.

Minimum Qualifications

• Bachelor's degree in Computer Science , Systems Engineering, Software Engineering , or a related field. Advanced degrees are preferred but not required .

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 A I/ML

‘ Strong understanding of technical concepts related to managing cloud-based data and machine learning pipelines (e.g., AWS or GCP )

Preferred Skills

• Familiarity with vector databases, embeddings, and retrieval-augmented generation( RAG) architectures.

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

Excellent communication and interpersonal skills

• Ability to work independently and collaboratively with remote and/or geographically distributed teams

Ability to work independently and collaboratively with remote and/or geographically distributed teams

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. You can find more information on our benefits at: https://www.Vantor.com/careers
• The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
• The date of posting can be found on Vantor's Career page at the top of each job posting.
• To apply, submit your application via Vantor's Career page.
• 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.