Senior Agentic AI Engineer for Production ML

Optimum; New York (NY); On-site; USD 157,000 - 198,000; Full time

Job summary

Optimum is seeking a Machine Learning Engineer to design, deploy, and monitor agentic AI systems on Google Cloud, leveraging CES and Vertex AI capabilities. You will translate stakeholder needs into production-ready AI solutions, architect multi-agent workflows, and orchestrate tool calls and data pipelines.

The role demands strong Python/SQL, production deployment knowledge, and collaboration across data, product, and operations to drive impactful AI-driven customer and business outcomes.

Qualifications

• Experience building agentic AI systems in production.
• Hands-on with Google's CES Suite and Vertex AI.
• Strong Python and SQL for data manipulation.
• Ability to deploy and monitor AI agents in production.
• Experience with REST/GraphQL APIs and databases.

Responsibilities

• Gather requirements and design agentic AI architectures.
• Architect and deploy agentic AI systems on Google Cloud.
• Integrate tools and APIs to extend agent capabilities.
• Lead stakeholder communications on model performance and costs.
• Monitor industry trends in agentic AI and MLOps.

Skills

Python programming

R programming

SQL

Data wrangling

Statistical modeling

Agentic AI / MLOps

Education

Bachelor in Data Science / CS / Math

Advanced degree / MOOC in DS

Tools

Google Cloud CES

Vertex AI

LangChain

LangGraph

CrewAI

ADK

REST/GraphQL APIs

BigQuery

AWS

Docker

Kubernetes

Terraform

Job description

Optimum is seeking a Machine Learning Engineer to design, deploy, and monitor agentic AI systems on Google Cloud, leveraging CES and Vertex AI capabilities. You will translate stakeholder needs into production-ready AI solutions, architect multi-agent workflows, and orchestrate tool calls and data pipelines.

The role demands strong Python/SQL, production deployment knowledge, and collaboration across data, product, and operations to drive impactful AI-driven customer and business outcomes.