AI Agent Engineer: Train & Optimize Proactive LLM Agents

Outlier Ai; Little Canada (MN); On-site; USD 90,000 - 130,000; Full time

Job summary

Outlier Ai in Minnesota is seeking a backend engineer to join our AI automation and systems integration team. You will work on production-grade services handling parsing, business logic, and reporting while helping train autonomous agents with human feedback.

You will collaborate across teams on multi-step workflows, live tool integrations, and security-aware system design, delivering concise technical observations to improve agent performance and reliability.

Qualifications

• 2+ years of backend engineering or AI automation experience.
• Experience building production-ready software with modular architecture.
• Proficiency in at least two major programming languages and SQL.
• Experience in live production environments with multi-turn interactions.
• Strong attention to detail and ability to provide concise feedback.
• Experience with multi-stage coordination workflows and live integrations is a plus.

Responsibilities

• We help train advanced generative AI systems by providing human feedback that improves autonomous agents.
• We support the development of LLMs that can act as proactive, multi-step agents.
• We contribute to projects that teach systems how to design, coordinate, and refine complex architectural workflows.
• We evaluate system behavior in realistic environments and identify subtle functional or security issues.
• We deliver clear, detailed technical observations that help improve agent performance and reliability.
• We collaborate with the team on orchestration-focused tasks and real-world integration challenges.

Skills

Backend engineering

AI automation

Systems integration

Python

JavaScript

Go

Java

SQL databases

Production systems

Attention to detail

Job description

Outlier Ai in Minnesota is seeking a backend engineer to join our AI automation and systems integration team. You will work on production-grade services handling parsing, business logic, and reporting while helping train autonomous agents with human feedback.

You will collaborate across teams on multi-step workflows, live tool integrations, and security-aware system design, delivering concise technical observations to improve agent performance and reliability.