AI Integration Engineer
Core
Designing, coordinating, and optimizing complex real-world architectural workflows for proactive, multi-step AI agents by providing human feedback and technical insight to improve model performance.
Role type
AI Integration Engineer (Human-in-the-loop AI Systems Trainer)
Builds
Production-ready software with modular boundaries (parsing, logic, reporting) and advanced generative systems functioning in production-like environments.
Domain
Artificial Intelligence / Large Language Models / System Orchestration
Deliverable
production ML models | product features
Required skills
Backend engineering, AI automation, complex system integration, multi-step workflow coordination, security analysis (privacy leakage, prompt injection), persistent state management, API integration, SQL databases, proficiency in at least two major programming languages (Python, JavaScript, Go, Java), live environment debugging.
Preferred skills
Experience connecting agents with live tools (Supabase, Gmail, APIs), creating multi-stage coordination workflows, spotting subtle system issues.
Technologies
Java, JavaScript, Python, SQL, Supabase, Gmail, MEMORY.md
Responsibilities
Provide human feedback on agent behavior to train large language models, evaluate system interactions and surface nuanced failure modes, assist in refining generative systems for production environments, implement persistent state and session tracking, identify security and safety concerns in agent behavior, support the design and optimization of complex architectural workflows.