Key Responsibilities
- Develop AI agents and GenAI 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.
Required Skills
- 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.
Experience
- 8+ years of software development experience.
- Hands-on experience in GenAI, Python, API development, and cloud-native solutions preferred.
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