Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Designing and deploying agentic LLM workflows with an accent on autonomous planning, tool-use, and self-correction mechanisms. Focus on building robust interfaces between LLMs and external systems, implementing state management for long-running tasks, and creating custom evaluation frameworks for agent trajectory success.

Location: Must be based in Latin America

Company

hirify.global is a Palo Alto-founded company that helps U.S. organizations build and scale world-class AI and data teams by leveraging top-tier talent from Latin America.

What you will do

• Architect complex agentic workflows that break down user requests into actionable sub-tasks.
• Develop Plan-and-Execute or ReAct patterns to enable model reasoning before action.
• Design systems for short-term memory management to ensure task continuity and prevent infinite loops.
• Create interfaces between LLMs and external software, databases, or APIs.
• Build custom evaluation frameworks to measure trajectory success, efficiency, and safety.
• Implement guardrails and Human-in-the-Loop checkpoints to prevent hallucinations and unintended actions.

Requirements

• Must be based in Latin America
• 5+ years of hands-on experience developing and deploying machine learning models in production.
• Strong software engineering fundamentals including system design, OOP, and API integration.
• Proven experience with agentic architectures, multi-agent workflows, and tool-calling.
• Expertise in Generative AI frameworks such as LangChain, LangGraph, OpenAI, and Claude.
• Experience with vector databases like Pinecone, Milvus, or Qdrant for RAG and long-term memory.

Culture & Benefits

• Ownership through equity participation.
• Annual company retreat and optional in-person meetups.
• Education bonus for continuous learning and tailored career roadmaps.
• Company-wide winter break and paid time off.
• High-performance, transparent, and collaborative culture.