Python Devloper with Gen AI
About The Position
Develop AI agents and generative AI solutions using Python, with a focus on Quality Engineering (QE). Build and maintain APIs using FastAPI and microservices architecture, and deploy and manage applications using Docker and CI/CD pipelines. Analyze requirements from a QE perspective to identify automation opportunities, then design, build, and deploy QE-focused AI agents. Optimize agents for performance, scalability, and reliability, and implement monitoring, logging, and observability for AI solutions. Collaborate with QE, Development, and DevOps teams to deliver enterprise-grade solutions. The position is a six-month contract based in Alpharetta, Georgia, with a hybrid work arrangement.
Requirements
- Strong hands-on experience in Python and Generative AI.
- Experience with FastAPI and microservices development.
- Good understanding of Docker, containerization, and CI/CD processes.
- Experience building, deploying, and optimizing AI agents.
- Knowledge of monitoring, logging, and observability practices.
- Understanding of Quality Engineering and test automation concepts.
- Strong problem-solving and communication skills.
- Eight years of software development experience.
Nice To Haves
- SQL.
- Hands-on experience in GenAI, Python, API development, and cloud-native solutions.
Responsibilities
- Develop AI agents and generative AI solutions using Python.
- Build and maintain APIs using FastAPI and microservices architecture.
- Deploy and manage applications using Docker and CI/CD pipelines.
- Analyze requirements from a Quality Engineering perspective and identify automation opportunities.
- Design, build, and deploy QE-focused AI agents.
- Optimize existing agents for performance, scalability, and reliability.
- Implement monitoring, logging, and observability for AI solutions.
- Collaborate with QE, Development, and DevOps teams to deliver enterprise-grade solutions.
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
