Staff AI Engineer (AI)

TL;DR

Staff AI Engineer (AI): Leading the design and evolution of production-ready AI systems to power intelligent product experiences with an accent on LLM-powered features, retrieval systems, and agentic workflows. Focus on scaling LLM pipelines, optimizing cost and latency, and setting technical direction for applied AI engineering.

Location: Must be based in Colombia or Brazil

Company

hirify.global is a platform-driven company focusing on building intelligent product experiences powered by applied AI.

What you will do

• Lead the architecture and implementation of AI systems and shared platform patterns.
• Design and scale LLM pipelines, retrieval systems, and agentic workflows for customer-facing products.
• Partner with product and engineering teams to identify, shape, and deliver high-value AI capabilities.
• Improve observability, performance, reliability, and cost efficiency of AI systems in production.
• Mentor team members and help define engineering standards, processes, and best practices.
• Drive technical direction for applied AI systems across teams and product areas.

Requirements

• Proven experience designing and shipping customer-facing AI systems in production.
• Strong experience with Generative AI and LLMs, including RAG, evaluation, and orchestration.
• Experience designing agentic or multi-step AI systems with tools and external integrations.
• Strong programming skills in Python.
• Strong system design and software engineering judgment in reliability, observability, and testing.
• Must be based in Colombia or Brazil.

Nice to have

• Experience with AWS services (EC2, EKS, RDS, ELB) and Terraform.
• Strong experience with LangChain, LangGraph, LlamaIndex, or similar orchestration frameworks.
• Experience with AWS Bedrock, SageMaker, or similar managed AI platforms.
• Experience with vector databases, embeddings, and semantic search.
• Experience mentoring engineers and leading cross-team technical initiatives.

Culture & Benefits

• Empowering culture where every person is heard and encouraged to shape the environment.
• Collaborative atmosphere working across product, engineering, and data teams.
• Opportunity to own your career growth and build impactful systems from the ground up.
• Focus on operational excellence, high engineering standards, and continuous improvement.