remote
Machine Learning Engineer, Agentic AI
Machine Learning Engineer
Machine Learning Engineer to design and productionize domain-specialized AI capabilities for agentic systems, focusing on multi-step reasoning and scalable infrastructure.
About the role
Key Responsibilities
- Design and build scalable AI infrastructure and services to power agentic AI applications
- Develop advanced reasoning and agentic capabilities enabling AI agents to operate autonomously in dynamic real-world environments
- Implement monitoring, evaluation, and optimization processes to ensure reliability and responsiveness in production systems
- Collaborate with applied scientists, engineers, and product teams to translate experimental prototypes into robust production systems
- Contribute to best practices in distributed ML systems, scalable architecture, and responsible AI deployment
- Advance multi-step reasoning, structured synthesis, and tool-grounded intelligence for live customer experiences
Requirements
- Bachelor’s or Master’s in Computer Science or a related field
- 2+ years of experience building production ML systems and services
- Experience with AI agent frameworks, orchestration, or multi-step reasoning applications
- Strong programming skills in Python and experience with ML/AI
- Ability to thrive in a cross-functional team environment with strong collaboration and accountability
Skills
pythonmachine learningai agent frameworksdistributed systemsml orchestrationresponsible ai deployment