AI Engineer Manager

About the position We are looking for an AI Engineer Manager to join our LATAM team in a remote, full-time role. This position is focused on designing, building, and deploying production-ready AI systems that create meaningful impact for our clients. The ideal candidate will work across the full stack of modern AI delivery, including RAG pipelines, agentic frameworks, LLM-powered solutions, evaluation design, and MLOps/LLMOps. This role requires a senior technical voice who can lead end-to-end delivery, mentor other engineers, communicate effectively with stakeholders, and help clients make pragmatic decisions about what AI systems should and should not attempt.

Responsibilities

• Leading AI project delivery end to end, ensuring clear governance, strong stakeholder communication, and reliable execution.
• Designing and building robust RAG systems, agentic frameworks, and LLM-powered solutions suitable for production environments.
• Applying advanced prompt engineering techniques, including instruction design, few-shot prompting, structured outputs, and tool/agent prompts.
• Leading feasibility assessments to determine the right technical approach, including prompting, RAG, fine-tuning, classical ML, or hybrid solutions.
• Designing evaluation frameworks for AI systems, including LLM-as-a-judge, custom metrics, recall@k, precision@k, and go/no-go gates.
• Running structured experiments across prompts, retrievers, chunking strategies, embeddings, reranking approaches, and models.
• Identifying and categorizing model failures such as hallucinations, retrieval misses, instruction-following errors, and quality regressions.
• Building scalable inference infrastructure and CI/CD pipelines for AI and ML models.
• Automating the MLOps/LLMOps lifecycle, including tracking, versioning, deployment, monitoring, retraining, and continuous improvement.
• Designing APIs, microservices, and orchestration layers optimized for latency, cost, reliability, and scalability.
• Mentoring junior engineers and contributing to proposals, solution design, and new business initiatives.

Requirements

• 6+ years of experience building and deploying AI, ML, or data-driven solutions in production environments.
• Strong expertise in Python and solid Git practices.
• Hands-on experience with LLM-powered solutions, RAG systems, and modern GenAI development patterns.
• Practical experience with RAG components, including chunking, embeddings, retrieval, reranking, and evaluation.
• Strong understanding of prompt engineering techniques, including structured outputs, few-shot prompting, instruction design, and tool/agent prompts.
• Proven experience designing evaluation strategies for AI systems, including metrics, dataset curation, structured experimentation, and quality gates.
• Experience with MLOps/LLMOps practices and tools such as MLflow, Weights & Biases, or similar platforms.
• Solid cloud experience with AWS, Azure, or GCP. Azure experience is preferred.
• Experience with containerization, orchestration, scalable inference, APIs, and microservices.
• Understanding of event-driven architectures and production-grade engineering practices.
• Ability to communicate clearly with engineering teams, senior stakeholders, and clients.
• A pragmatic approach to AI delivery, balancing innovation, reliability, cost, latency, and business value.
• Advanced English level is required for written and verbal communication.
• At least 6 years of professional experience building and deploying AI, ML, or software solutions in production environments.

Nice-to-haves

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

Benefits

• Every day lunches! (headquarters): Vegetarian, vegan, gluten and sugar free options. Gourmet meals every Friday with our on-site chef!
• Flexible working options to help you strike the right balance.
• All the equipment you need to harness your talent (Macbook and accessories).
• Snacks and beverages available everyday (headquarters).
• After office events, football, tennis and game nights (headquarters).
• Everyone is welcome to join our football league every Wednesday’s and Friday’s. Challenge your teammates to a pool game and win the office’s trophy! Tennis courts available for friendly matches. Not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join!
• Learning opportunities: AWS Certifications (we are AWS Partners). Study plans, courses and other certifications. English Lessons. Learn from your teammates on our Tech Tuesdays!
• Mentoring and Development opportunities to shape your career path.
• Anniversary and birthday gifts.
• Great location and even greater teammates!