Jobtailor Deutschlandweit vor 1 Wochen

Agentic AI Engineer

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Responsibilities

  • Design, develop, and deploy AI solutions that modernize and optimize essential nationwide operations
  • Develop and advance AI capabilities across USPS business functions
  • Build tools that automate requirements and test case generation using technologies such as Visual Studio Code, Python, Microsoft Copilot, CrewAI, and other USPS‑approved platforms
  • Integrate AI solutions with existing automation frameworks to reduce manual effort and enhance quality
  • Evaluate opportunities to embed AI across enterprise workflows and design solutions aligned with mission needs
  • Collaborate with cross‑functional teams and communicate technical concepts to both technical and non‑technical stakeholders
  • Ensure all AI solutions meet USPS security, compliance, and execution requirements
  • Train designated team members to maintain and operate AI‑driven tools and scripts

Qualifications

  • Bachelor’s degree in a related field with strong mathematics OR an additional four years of relevant professional experience in lieu of a degree
  • 2+ years of related experience
  • Proven experience contributing to or leading AI/automation initiatives
  • Strong agentic AI experience, including familiarity with agent frameworks, orchestration tools, and automation workflows
  • Strong mathematical foundation in algebra, statistics, calculus, or related fields applied to AI/ML model development
  • Hands‑on experience developing, training, and evaluating AI or ML models
  • Experience performing optimization to improve model performance, scalability, or efficiency
  • Practical experience applying machine learning methods to real‑world business or operational challenges
  • Proficiency in building AI solutions using Python, Visual Studio Code, and relevant programming or scripting languages
  • Strong understanding of generative AI, LLM integration, and modern AI frameworks
  • Ability to deliver AI scripts and programs that run reliably on USPS‑approved environments
  • Capability to document, train, and transition AI tools to operational teams

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