AI Systems EngineerAI Systems Engineer Tulsa, OK (Onsite) Target Compensation: $110K–$150K baseOverviewWe are partnering with a growing, innovation-focused manufacturing organization to add an AI Systems Engineer to their internal technology team. This is a hands-on role working directly with senior AI leadership to design and deploy practical AI solutions integrated into core business systems and operations. This is a strong opportunity for someone who enjoys building real-world AI applications —not just models—across ERP, automation, and operational workflows.What You'll Be DoingBuild and maintain AI-powered applications and internal toolsDevelop APIs, backend services, and system integrations supporting AI workflowsPartner on initiatives including: Retrieval-Augmented Generation (RAG), LLM-based applications and AI agents, Intelligent document processing & OCR systems, Workflow automation and AI-assisted operations, ERP data integrations and reporting dashboardsDesign and optimize data pipelines and structures for AI useIdentify opportunities to automate business processes using AIContribute in a fast-moving, collaborative development environmentCore Technical Requirements (Must-Have)Strong Python development skills (backend-focused)Experience building or contributing to AI/ML applications or intelligent systemsSolid understanding of Large Language Models (LLMs), RAG architectures, Embeddings/vector search, AI workflow orchestrationExperience with API development and system integration, SQL / data handlingComfortable working across backend systems, data, and AI layersPreferred / Nice-to-HaveExperience with AI tooling/frameworks such as LangChain, OpenAI APIs, Ollama, FastAPI, PyTorch or TensorFlowFamiliarity with Docker, Linux environments, and GPU-based systemsExposure to ERP systems, manufacturing, or operations techBackgroundBachelor's degree in CS, AI, ML, Software Engineering, or related field (Master's preferred)Open to candidates with professional, academic, or project-based AI experienceWhy This Role Stands OutHighly practical AI use cases (not theoretical work)Direct collaboration with AI leadershipOpportunity to influence automation and transformation across operationsStable environment with long-term investment in AI capabilitiesIf you're a builder who enjoys turning AI concepts into production-ready systems, this is an excellent opportunity to make a measurable impact.