AI Agent Engineer
Core
Train advanced generative AI systems and LLMs by providing human feedback to improve autonomous agents' ability to plan, coordinate, and optimize complex workflows.
Role type
AI Agent Engineer (Human-in-the-loop training & evaluation)
Builds
Proactive, multi-step autonomous agents and orchestration-focused workflows
Domain
Generative AI / Large Language Models / Autonomous Agents
Deliverable
production ML models
Required skills
Backend engineering, AI automation, complex system integration, modular architecture design, multi-turn system interaction management, multi-stage coordination workflows, live tool integrations, persistent state handling, security issue identification (privacy leakage, authority escalation, prompt injection)
Preferred skills
Proficiency in multiple major programming languages (Python, JavaScript, Go, Java), SQL database experience, practical experience in live real-world environments
Technologies
Java, JavaScript, Python, SQL
Responsibilities
Provide human feedback to train LLMs acting as autonomous agents, evaluate system behavior in realistic environments to identify functional or security issues, deliver technical observations to improve agent performance and reliability, collaborate on orchestration tasks and real-world integration challenges
Seniority
Mid-level (2+ years experience)