AI Engineering Manager

TL;DR

AI Engineering Manager (RAG/LLMOps): Leading the delivery of production-grade RAG systems, agentic frameworks, and LLM-powered solutions with an accent on AI architecture, evaluation, and scalable MLOps infrastructure. Focus on designing reliable AI systems, measuring model and retrieval quality, and building high-performing engineering teams for complex client projects.

Location: Bogotá, Colombia

Company

hirify.global is an AI services provider that combines data science, artificial intelligence, technology, and human expertise to deliver solutions for clients.

What you will do

• Lead end-to-end AI project delivery, governance, stakeholder communication, and accountability for outcomes.
• Build, mentor, and manage a high-performing AI engineering team while establishing technical and quality standards.
• Guide the design and production delivery of RAG systems, agentic frameworks, and LLM-powered solutions.
• Define evaluation frameworks, metrics, experiments, and quality gates for AI systems.
• Build scalable inference infrastructure, CI/CD pipelines, and automated MLOps/LLMOps workflows.
• Design APIs, microservices, and orchestration layers optimized for latency, cost, and reliability.

Requirements

• 7+ years of hands-on experience building and deploying AI/ML solutions in production.
• 2+ years of direct team leadership or technical management experience.
• Expert Python skills, strong Git practices, and experience with ML/LLM versioning and deployment.
• Cloud experience with AWS, Azure, or GCP, plus containerization and orchestration knowledge.
• Hands-on RAG experience across chunking, embeddings, retrieval, reranking, and evaluation.
• Advanced English required for communication with global teams and client leadership.

Nice to have

• Databricks MLOps, LLM fine-tuning, or agentic GenAI systems experience.
• Infrastructure as Code, security, and observability for AI services.
• Classical ML background or open-source contributions.

Culture & Benefits

• At-home medical assistance is available for employees from Analyst to AllStar level.
• Private healthcare plans are available for Lead-level roles and above.
• Christmas kits, academic graduation leave, and Family Day leave are provided.
• Savings incentives increase from 50% in the first year to 150% from the third year onward.
• Eligible employees can access forgivable education loans and training subsidies.

Hiring process

• Submit a resume or LinkedIn profile for consideration.