Jobtailor Deutschlandweit vor 2 Tagen

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 #J-18808-Ljbffr

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