Key Responsibilities
- Architect and deliver production-grade agent workflows spanning conversational UI, orchestration logic, and tool integrations
- Design and implement scalable AI systems for real-world applications
- Optimize performance and reliability of generative AI models in production environments
- Collaborate with cross-functional teams to integrate AI capabilities into existing platforms
- Ensure adherence to best practices in AI model development and deployment
- Mentor junior engineers and contribute to technical roadmap discussions
Requirements
- 5+ years of experience in AI/ML engineering with a focus on generative models
- Proficiency in Python and experience with AI frameworks (e.g., PyTorch, TensorFlow)
- Strong understanding of agent workflows and orchestration systems
- Experience with conversational AI and tool integration architectures
- Familiarity with cloud platforms and MLOps practices