Staff AI Engineer

Staff AI Engineer (CR/511589) Dallas, Texas An enterprise media technology organization is seeking a Staff AI Engineer for a remote role focused on building and scaling advanced AI systems for enterprise content scanning and research. The position centers on LLMs, AI agents, agentic workflows, and production-grade Python and AWS development. About the Opportunity: Shift: Day shift Schedule: Monday through Friday Hours: Standard business Setting: Remote Responsibilities: Design and build agentic systems, including tool use, multi-step workflows, reasoning, streaming, and state management. Develop and operate production APIs and services, with attention to reliability, scalability, authentication, and backward compatibility. Build backend AI systems that support enterprise workflows across orchestration, retrieval, evaluation, and observability. Evaluate AI system quality, reliability, and safety using structured datasets, regression testing, and production monitoring. Contribute to full-stack product experiences when needed and collaborate across engineering on pragmatic, production-ready solutions. Qualifications: 5+ years of experience shipping production software in an enterprise or consumer environment 2+ years of experience architecting, designing, and optimizing search and information retrieval systems at scale 6 months to 1 year of hands‑on experience building agentic products or solutions 1+ year of experience evaluating AI systems for quality, reliability, and safety at scale Strong backend engineering fundamentals and experience working with APIs, batch workflows, orchestration, observability, and production support Experience working with AWS BS in Computer Science, Electrical Engineering, or equivalent experience Desired Skills: Experience with modern agent frameworks such as OpenAI Agents SDK, LangGraph, Google ADK, or SmolAgents Experience with OpenSearch or Elasticsearch Experience with foundation models, open-source LLMs, and model evaluation techniques Exposure to AI orchestration frameworks, retrieval strategies, and multimodal systems Experience with Docker, Kubernetes, CI/CD, or Azure Experience with media-processing tools such as FFmpeg or OpenCV #J-18808-Ljbffr