TL;DR

AI Engineer (AI): Design, build, and optimize production-grade AI agent systems for enterprise customers with an accent on multi-agent system design, evaluation framework implementation, and integration into cloud infrastructure. Focus on implementing agent logic with LLM frameworks, optimizing prompts, and guiding deployment patterns for complex AI applications.

Location: Remote (US), with preference for San Francisco or New York.

Salary: $160,000–$180,000

Company

%hirify_global% develops and optimizes production-grade AI agent systems.

What you will do

Design and implement multi-agent systems using %hirify_global%/LangGraph.
Design comprehensive evaluation frameworks and optimize prompts with A/B testing.
Implement state management and RAG patterns with vector store integration.
Guide customers on agent deployment, configuration management, and CI/CD integration.
Set up observability using LangSmith and collaborate on infrastructure requirements.
Lead agent engineering maturity assessments and present recommendations to enterprise customers.

Requirements

5+ years in software development with 2+ years in AI/ML applications/agents.
Strong experience with LLM frameworks (%hirify_global%/LangGraph) and state management.
Experience designing and implementing evaluation frameworks for AI applications.
Strong prompt engineering skills, including optimization and A/B testing.
Proficiency in Python and/or TypeScript for production-grade code.
Understanding of cloud platforms (GCP, AWS, Azure), containerization, and CI/CD concepts.
Customer-facing experience with enterprise customers is preferred.

Culture & Benefits

Join a collaborative team environment with a strong engineering culture.
Direct impact on customer success and opportunity to shape best practices.
Work with cutting-edge AI technology.
Very competitive and comprehensive benefits.