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.