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Python Developer

Company: Apexsync Technologies

Location: Cincinnati, OH

Posted on: October 14

Hello Everyone,


Job Title: Python Developer / AI Software Engineer

Location: Cincinnati, OH (5 days Onsite project)

Engagement: Contract (C2C) Onsite Interview must

Experience Level: 10+ Years

Work Authorization: GC / H4 EAD / USC only


Duration: 13 months+ (Long term)

Local to OH Preferred


Position Overview


We are looking for a highly skilled and experienced Python Developer with strong AI/ML expertise to join our clients team in Cincinnati, OH. This role requires a proven track record in developing production-grade AI solutions, building agentic workflows, and leveraging AWS-based AI services. The ideal candidate will combine deep software engineering skills with hands-on AI system development experience.


Key Responsibilities


  • AI System Development Design, build, and maintain agentic workflows and autonomous AI systems.
  • Model Integration Develop and integrate AI/ML models (including LLMs) into scalable, production-grade applications.
  • Cross-functional Collaboration Partner with product managers, data scientists, and engineers to define requirements and deliver AI-powered solutions.
  • Automation & Orchestration Implement orchestration logic for multi-agent systems using frameworks like LangChain, AutoGen, or CrewAI.
  • Code Quality Write clean, maintainable, and well-documented Python code following industry best practices.
  • System Monitoring Optimize AI system performance, reliability, and scalability in production environments.
  • Innovation Stay informed about emerging AI/ML technologies, architectures, and best practices to ensure solutions remain cutting-edge.


Required Skills & Qualifications


  • Experience: 1015 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: Bachelors 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.
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