AI Engineer Manager

Location: Remote role for the LATAM team, based in Bogotá, Colombia

Company

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

What you will do

• Lead AI project delivery end to end, including governance, stakeholder communication, solution design, and reliable execution.
• Design and build production-ready RAG systems, agentic frameworks, LLM-powered solutions, APIs, microservices, and orchestration layers.
• Lead feasibility assessments across prompting, RAG, fine-tuning, classical machine learning, and hybrid approaches.
• Design evaluation frameworks using custom metrics, LLM-as-a-judge, recall@k, precision@k, experimentation, and quality gates.
• Build scalable inference infrastructure and automate MLOps/LLMOps processes for deployment, monitoring, retraining, and continuous improvement.
• Mentor engineers and contribute to client communication, proposals, solution design, and new business initiatives.

Requirements

• At least 6 years of professional experience building and deploying AI, ML, or software solutions in production.
• Strong Python expertise and solid Git practices.
• Hands-on experience with LLM-powered solutions, RAG components, prompt engineering, evaluation strategies, and modern GenAI development patterns.
• Experience with MLOps/LLMOps tools such as MLflow or Weights & Biases, plus cloud experience with AWS, Azure, or GCP.
• Experience with containerization, orchestration, scalable inference, APIs, microservices, event-driven architectures, and production-grade engineering.
• Advanced English is required for written and verbal communication.

Nice to have

• Experience with Databricks MLOps, LLM fine-tuning, agentic GenAI systems, or Infrastructure as Code.
• Knowledge of security and observability practices for AI services.
• Background in classical machine learning or open-source contributions.

Culture & Benefits

• Flexible working options and equipment, including a MacBook and accessories.
• Learning support through AWS certifications, study plans, courses, certifications, English lessons, and Tech Tuesdays.
• Mentoring and development opportunities.
• Headquarters perks include daily lunches, snacks, beverages, sports activities, and social events.
• Anniversary and birthday gifts.

Hiring process

• Submit a resume or LinkedIn profile for consideration.
• Discuss experience and potential collaboration with the hiring team.