Staff AI Engineer (Generative AI)

Location: Latin America; fully remote

Company

hirify.global helps U.S. companies build and scale AI, ML, and data teams with talent from Latin America.

What you will do

• Translate ambiguous enterprise business problems into AI solution architectures and explain cost, latency, and risk trade-offs to executive stakeholders.
• Design and build scalable backend systems, data pipelines, and APIs integrating LLMs, agentic workflows, and RAG.
• Implement multi-agent orchestration, vector databases, hybrid search, telemetry, cost tracking, security guardrails, and evaluation harnesses.
• Deploy and manage cloud-native AI applications across AWS, GCP, Azure, or Databricks using Docker, Kubernetes, Terraform, and CI/CD.
• Optimize prompts, inference latency, caching, quantization, and infrastructure costs.
• Act as a technical authority for client engagements, manage technical risks, raise engineering standards, and mentor client teams.

Requirements

• 8+ years of Software or ML Engineering experience, including 3+ years building production GenAI or LLM applications and 2+ years in customer-facing or forward-deployed roles.
• Hands-on experience with LangGraph, LangChain, LlamaIndex, OpenAI, vector databases, RAG, agents, and tool use.
• Strong Python backend experience with FastAPI, Django, or Flask, plus relational and NoSQL databases.
• Experience with Docker, Kubernetes, Terraform, MLflow, automated CI/CD, and at least one of AWS, GCP, Azure, or Databricks.
• Experience implementing LLM telemetry, cost tracking, security guardrails, and systematic evaluation patterns.
• Fluent English communication is required, along with the ability to lead client engagements independently.

Culture & Benefits

• Ownership through equity participation.
• Annual company retreat and optional in-person events and meetups.
• Education bonus, tailored career roadmaps, and continuous learning opportunities.
• Company-wide winter break and paid time off.
• Transparent, collaborative, high-performance environment focused on autonomy, growth, and execution.