The AI Engineer II will design and deploy agentic AI systems to enhance product capabilities and enable intelligent automation, focusing on building modular, scalable agents using both open-source and proprietary large language models.
Responsibilities
Design and implement AI agents using Python
Develop modular, scalable, and reusable agent components
Collaborate with product teams to prototype agent behaviors
Support benchmarking of agent performance
Build and maintain data pipelines
Implement observability and monitoring frameworks
Integrate vector databases and embedding techniques
Maintain CI/CD pipelines and MLOps frameworks
Assist fine-tuning and prompt engineering
Follow data governance and security best practices
Requirements
Advanced degree (MS/PhD) in Computer Science, AI, Machine Learning, or related field
Experience with agent orchestration frameworks
Experience with Python Multiprocessing
Familiarity with cloud platforms (GCP, AWS, Azure) and containerization (Docker, Kubernetes)