Agentic AI Engineer - Production-Ready in AWS

Apex Systems; Beverly Hills (CA); On-site; USD 96,000 - 110,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with company match

Employee stock purchase program (ESPP)

HSA and EAP

Job summary

Everforth Apex Systems is seeking an AI Engineer to build agentic AI solutions in a greenfield AWS environment in Beverly Hills, onsite. You will partner with Legal, Finance, Supply Chain, CRM, and other teams to identify AI opportunities and implement production-ready agents.

The role combines data engineering, agentic AI, and end-to-end development, with strong emphasis on tool calls, RAG, embeddings, and enterprise data integration. This is an IC, hands-on position in a dynamic environment.

Qualifications

• 5–10 years of engineering experience with data systems and AI.
• Hands-on Python, AWS, data pipelines, APIs, and enterprise data integration.
• Experience building LLM-powered agents or agentic workflows.
• Familiarity with Claude or similar LLMs and tool calls.

Responsibilities

• Partner with business teams to map workflows and AI opportunities.
• Design and build AI agents and multi-step workflows with Claude.
• Enable agents to access and reason over enterprise data and tools.
• Develop data integrations and production-ready pipelines in AWS.
• Prototype quickly and deploy to production with guardrails.

Skills

Python

AWS

Data pipelines

Enterprise data integration

LLM-powered apps

Agentic workflows

Tool calling

Vector databases

Tools

Claude

Job description

Everforth Apex Systems is seeking an AI Engineer to build agentic AI solutions in a greenfield AWS environment in Beverly Hills, onsite. You will partner with Legal, Finance, Supply Chain, CRM, and other teams to identify AI opportunities and implement production-ready agents.

The role combines data engineering, agentic AI, and end-to-end development, with strong emphasis on tool calls, RAG, embeddings, and enterprise data integration. This is an IC, hands-on position in a dynamic environment.