Agentic Systems Engineer

ToshibaDurham, NC
276d

About The Position

Toshiba Global Commerce Solutions is seeking an Agentic Systems Engineer to help bridge the gap between AI-generated code and production-ready autonomous systems. You will play a critical role in reviewing, refining, and integrating agent-generated outputs into scalable, safe systems. This position is ideal for engineers eager to grow in the emerging field of AI autonomy while developing strong fundamentals in backend development, tooling, and cloud infrastructure. Engineer contributes directly to agent feedback loops, improves AI-driven workflows, and ensures features safely reach production. You will work alongside senior engineers to enhance agent capabilities, debug complex interactions, and strengthen the reliability of AI-driven processes.

Requirements

  • 2+ years of software engineering experience, preferably in backend or systems development.
  • Strong programming skills in NodeJS and familiarity with strongly typed languages (Java, Typescript).
  • Solid understanding of algorithms, data structures, and modular system design.
  • Experience building or maintaining backend systems or developer tooling.
  • Basic working knowledge of CI/CD pipelines, including Dockerfile creation and understanding deployment workflows.
  • Exposure to cloud infrastructure (AWS, Azure, GCP) and hands-on use of cloud services.
  • Strong familiarity with version control workflows (Git branching, pull requests).
  • Proven debugging and troubleshooting ability using logs, debuggers, and monitoring tools.

Nice To Haves

  • Familiarity with LLM integration (e.g., calling APIs, using Hugging Face or LangChain frameworks).
  • Experience with containerization (Docker) and basic Kubernetes exposure.
  • Monitoring/logging experience with tools like Grafana, Prometheus, or ELK stack.
  • Awareness of basic security practices around credentials, API keys, and sensitive data handling.

Responsibilities

  • Implement production-quality backend code (NodeJS, Java, Typescript) following best practices for modularity, testing, and maintainability.
  • Review AI-generated code outputs, refine structure and safety, and integrate validated outputs into production workflows.
  • Enhance agent validation pipelines, sandbox execution environments, and integration tooling.
  • Support continuous improvement of agent task monitoring, logging, and success/failure detection.
  • Debug system behaviors using logs, runtime environments, and monitoring tools.
  • Assist with CI/CD processes (e.g., Docker builds, GitHub Actions pipelines) and basic cloud service deployments.
  • Learn and contribute to secure coding practices, ensuring AI-driven systems handle sensitive data correctly.

Benefits

  • Group health coverage (medical, dental, & vision)
  • Employee Assistance Programs
  • Pre-tax spending accounts
  • 401(k) plan (with company match)
  • Company provided life insurance
  • Pet Insurance
  • Employee discounts
  • Generous paid holiday schedule, paid vacation & sick/personal days
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