

Artificial Intelligence Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 12, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Cincinnati, OH
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π§ - 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 systemsβ performance in production environments.
β’ Stay updated with advancements in AI, LLMs, and agentic architectures.
Requirements
β’ 5β15 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’ Bachelorβs 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.
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 systemsβ performance in production environments.
β’ Stay updated with advancements in AI, LLMs, and agentic architectures.
Requirements
β’ 5β15 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’ Bachelorβs 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.