LLM Agent Engineer — Production-Grade AI Orchestrator

Obsidian; Chicago (IL); On-site; USD 150,000 - 190,000; Full time

Job summary

Obsidian is seeking engineers to build and operate LLM agents in production. You’ll have real visibility into how agents are used inside a company, including long-running and scheduled tasks, shared data, and reusable skills and playbooks.

No-code screening focuses on how you think about reliability and adoption, with war stories that illustrate tradeoffs in real systems. If chosen, you’ll participate in a short conversational AI interview, with compensation ranging from $100 to $500 based on

Qualifications

• Experience shipping an agent in production and handling failures
• Ability to measure agent improvements after changes
• Familiarity with long-running and scheduled agent workloads
• Understanding of internal monoagents and shared memory architectures

Responsibilities

• Design, deploy, and monitor LLM agents in production environments
• Assess deployment impact, usage, and cost of agents
• Improve reliability, evaluation, and adoption of agent-based systems
• Discuss trade-offs and war stories from real systems

Skills

LLM agents

Production systems

Agent reliability

Evaluation metrics

Job description

Obsidian is seeking engineers to build and operate LLM agents in production. You’ll have real visibility into how agents are used inside a company, including long-running and scheduled tasks, shared data, and reusable skills and playbooks.

No-code screening focuses on how you think about reliability and adoption, with war stories that illustrate tradeoffs in real systems. If chosen, you’ll participate in a short conversational AI interview, with compensation ranging from $100 to $500 based on