Machine Learning Engineer- Agentic AI

Job Description:

As a Backend Engineer, you will be responsible for designing, building, and scaling end-to-end ML/Agentic services. You’ll work in a cloud-native environment (GCP preferred) and contribute to the development of agentic workflows and applications. The project involves building chatbots for agentic commerce, with multiple deployment use cases expected throughout the year.

What You’ll Need to Succeed

· 2 to 5+ yrs strong backend engineering experience in ML/Agentic software development

· Proven track record of productionizing end-to-end ML/Agentic services

· Expertise in Python (primary language); Java is a nice-to-have

· Experience with Docker and Kubernetes in cloud environments (GCP preferred)

· Exposure to LangGraph or ability to learn quickly

· Familiarity with MCP (Multi-Agent Control Platform) is highly valued

· Ability to build scalable, high-traffic applications

· Strong problem-solving skills, especially around scaling agentic workflows

· Comfortable working in a fast-paced, remote-first environment