Senior Agentic AI Engineer - Production AI Agents Remote

TEEMA; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

TEEMA is seeking an Agentic AI Engineer to design, implement, and operate production-grade AI agents and workflows. The role emphasizes hands-on development, strong Claude Code experience, and robust integration across orchestration, memory, and tool layers.

Location options include USA-based preferred cities with remote/hybrid flexibility. The ideal candidate brings deep software engineering fundamentals, CI/CD discipline, and proven success delivering production AI systems at scale.

Qualifications

• Hands-on agentic AI development experience within the last 12 months.
• Strong Claude Code experience and advanced workflows.
• Experience with agentic harnesses, orchestration, tool integrations, memory management.
• Strong software engineering fundamentals, testing, CI/CD, and troubleshooting.
• Experience building and maintaining production applications.

Responsibilities

• Design, build, and deploy advanced AI agents and multi-step agentic workflows.
• Develop agentic harnesses, including orchestration, tool calling, memory, and context management.
• Develop APIs, backend services, and data integration pipelines.
• Deploy and maintain applications in AWS cloud environments.
• Use Claude Code to improve development, testing, and automation.
• Ensure AI systems are secure, reliable, scalable, and production-ready.

Skills

Agentic AI development

Claude Code

Orchestration & memory management

Software engineering fundamentals

Production applications

Tools

Terraform

Kubernetes

Docker

AWS

GCP

Claude Code (tool)

Job description

TEEMA is seeking an Agentic AI Engineer to design, implement, and operate production-grade AI agents and workflows. The role emphasizes hands-on development, strong Claude Code experience, and robust integration across orchestration, memory, and tool layers.

Location options include USA-based preferred cities with remote/hybrid flexibility. The ideal candidate brings deep software engineering fundamentals, CI/CD discipline, and proven success delivering production AI systems at scale.