Artificial Intelligence Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer in Cincinnati, OH, for 12 months at a competitive pay rate. Key skills include Python, AWS, AI/ML expertise, and experience with agentic workflows. A Bachelor's degree in a related field is required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 12, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Cincinnati, OH
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🧠 - Skills detailed
#Python #ML (Machine Learning) #Docker #Azure #GCP (Google Cloud Platform) #Jupyter #Terraform #GitHub #Scala #Data Pipeline #Langchain #AWS (Amazon Web Services) #Visual Studio #Kubernetes #AI (Artificial Intelligence) #Automation #Cloud #Computer Science
Role description
Job Title : AI Engineer Location : Cincinnati, OH (Onsite) Duration : 12 Months Job Summary We are seeking a highly motivated and technically skilled AI Software Engineer to join our growing team. This role involves designing and building agentic workflows, integrating AI models into production-grade applications, and working on cutting-edge AI systems that drive business value. The ideal candidate will possess strong software development skills, AI/ML expertise, and experience with AWS-based AI solutions. Responsibilities β€’ Design, build, and maintain agentic workflows and autonomous AI systems. β€’ Develop and integrate AI models into production applications. β€’ Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions. β€’ Implement orchestration logic for multi-agent systems and automation tasks. β€’ Write clean, scalable, and maintainable code to support AI initiatives. β€’ Monitor and optimize AI systems’ performance in production environments. β€’ Stay updated with advancements in AI, LLMs, and agentic architectures. Requirements β€’ 5–15 years of relevant experience. β€’ Proficiency in Python, JupyterHub, GitHub, Visual Studio, and related development tools. β€’ Strong understanding of AI/ML concepts, including LLMs and prompt engineering. β€’ Hands-on experience with AWS services for AI-driven systems. β€’ Knowledge of Terraform, CI/CD pipelines, and containerization (Docker, Kubernetes). β€’ Exposure to agentic workflows or multi-agent system design. β€’ Familiarity with orchestration frameworks such as LangChain, AutoGen, CrewAI, or similar. β€’ Strong problem-solving and communication skills. β€’ Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). Nice to Have β€’ Experience with Azure or GCP cloud platforms. β€’ Background in mitigating AI risks such as hallucinations and bias. β€’ Experience building prototype-level data pipelines for AI training and evaluation.