Senior ML Engineer: Production-Grade Agentic AI

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

Job summary

Optimum is seeking a Machine Learning Engineer to deploy end-to-end AI/ML solutions, architecting agentic AI systems on Google Cloud to automate enterprise workflows. You will collaborate with stakeholders and manage production deployment, observability, and lifecycle of agents across CES components.

The role emphasizes hands-on experience with Vertex AI, LangChain, and integration of tools via APIs, with a focus on scalable, production-grade AI solutions.

Qualifications

• Degree in a quantitative discipline; advanced training is a plus.

Responsibilities

• Consult with stakeholders to gather business requirements and design AI/ML solutions.
• Architect, build, and deploy agentic AI systems on Google Cloud to automate workflows.
• Lead end-to-end deployment, monitoring, and lifecycle management of agents in production.
• Collaborate with teams to manage model- and agent-related costs, latency, and guardrails.
• Profile users for segmentation to improve targeting and retention via agents.

Skills

Python

SQL

Google Cloud

Vertex AI

Agentic AI

LangChain

REST/GraphQL APIs

Model Deployment

R

Education

Bachelor0s degree in a quantitative field

Tools

Dialogflow CX

Vertex AI Agent Builder

Docker

Kubernetes

BigQuery

Job description

Optimum is seeking a Machine Learning Engineer to deploy end-to-end AI/ML solutions, architecting agentic AI systems on Google Cloud to automate enterprise workflows. You will collaborate with stakeholders and manage production deployment, observability, and lifecycle of agents across CES components.

The role emphasizes hands-on experience with Vertex AI, LangChain, and integration of tools via APIs, with a focus on scalable, production-grade AI solutions.