AI Agent Engineer: Production LLM Workflows

Apex Systems; Pleasanton, Northern (CA, KY); On-site; USD 55,000 - 83,000; Part time

Benefits offered by this job

401K plan

ESPP

HSA (HDHP)

Job summary

Everforth Apex Systems is seeking a Machine Learning Engineer to design, build, and optimize AI agents and agentic workflows. You will work with LLMs, AI SDKs, and APIs, deploying backend services in Python and leveraging GCP BigQuery for scalable AI workloads.

The role emphasizes production-ready AI agents, performance optimization, and collaboration with business stakeholders across domains to drive automation and insights.

Qualifications

• Strong Python development experience.
• Experience building or supporting AI Agents and Agentic Workflows.
• Experience with LLMs and Generative AI technologies.
• Exposure to AI SDKs such as OpenAI or Anthropic.
• Experience integrating APIs into AI-driven solutions.
• GCP experience including BigQuery and cloud-native services.
• Experience with unstructured data.
• Understanding of AI agent optimization and deployment.
• Hands-on experience with LangChain, LangGraph, or Google ADK.

Responsibilities

• Design, develop, and optimize AI agents for enterprise workflows.
• Build and maintain agentic workflows for automation and insights.
• Integrate LLMs and AI services into production environments.
• Develop backend services using Python.
• Support AI workloads on GCP and BigQuery.
• Optimize token usage and cost in AI agents.
• Collaborate with stakeholders to solve real-world use cases.
• Ensure deployment, monitoring, and operational excellence of AI systems.

Skills

Python

AI Agents

LLMs

AI SDKs

APIs

GCP BigQuery

Unstructured data

Agent orchestration

Tools

LangChain

LangGraph

Google ADK

Docker

Job description

Everforth Apex Systems is seeking a Machine Learning Engineer to design, build, and optimize AI agents and agentic workflows. You will work with LLMs, AI SDKs, and APIs, deploying backend services in Python and leveraging GCP BigQuery for scalable AI workloads.

The role emphasizes production-ready AI agents, performance optimization, and collaboration with business stakeholders across domains to drive automation and insights.