Overview
On Site
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - Contract
Skills
python
google cloud
kubernetes
docker
BEST PRACTICES
GITHUB
TERRAFORM
problem-solving
Containerization
Mitigation
Data Pipelines
Frameworks
Job Details
Job Title: Python Developer / AI Software Engineer
Job Location: Cincinnati, OH
Job Type: Contract
Job Description:
- Design, build, and maintain agentic workflows and autonomous AI systems.
- Develop and integrate AI/ML models (including LLMs) into scalable, production-grade applications.
- Partner with product managers, data scientists, and engineers to define requirements and deliver AI-powered solutions.
- Implement orchestration logic for multi-agent systems using frameworks like LangChain, AutoGen, or CrewAI.
- Write clean, maintainable, and well-documented Python code following industry best practices.
- Optimize AI system performance, reliability, and scalability in production environments.
- Stay informed about emerging AI/ML technologies, architectures, and best practices to ensure solutions remain cutting-edge.
Required Skills & Qualifications
- Experience: 5 15 years of relevant software engineering experience with at least 3 years in AI/ML-focused development.
- Programming Expertise: Strong proficiency in Python with experience in JupyterHub, GitHub, and Visual Studio.
- AI/ML Knowledge: Solid understanding of AI/ML concepts, including LLMs, prompt engineering, and agentic architectures.
- Cloud Expertise: Hands-on experience with AWS AI/ML services (SageMaker, Bedrock, etc.).
- DevOps Skills: Knowledge of Terraform, CI/CD pipelines, containerization (Docker, Kubernetes).
- Agentic Systems: Exposure to building and deploying agentic or multi-agent workflows.
- Frameworks: Familiarity with orchestration tools such as LangChain, AutoGen, CrewAI, or similar.
- Soft Skills: Excellent problem-solving, communication, and collaboration skills.
- Education: Bachelor's degree in Computer Science, Engineering, or equivalent work experience.
Preferred / Nice-to-Have Skills
- Experience with Azure or Google Cloud AI services.
- Understanding of AI ethics, risk mitigation, hallucination handling, and bias reduction.
- Experience building prototype-level data pipelines for AI training and evaluation.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.