AI Engineer Manager

About the role

We are looking for an AI Engineer Manager to join our LATAM team in a remote, full‑time capacity. The role focuses on designing, building, and deploying production‑ready AI systems that deliver tangible impact for our clients.

Key responsibilities

• Lead end‑to‑end AI project delivery, ensuring governance, stakeholder communication and reliable execution.
• Design and build robust Retrieval‑Augmented Generation (RAG) pipelines, agentic frameworks and LLM‑powered solutions for production.
• Apply advanced prompt engineering techniques, including few‑shot prompting, structured outputs and tool/agent prompts.
• Conduct feasibility assessments to select appropriate technical approaches such as fine‑tuning, classical ML or hybrid solutions.
• Develop evaluation frameworks with custom metrics, recall@k, precision@k and go/no‑go gates.
• Build scalable inference infrastructure, CI/CD pipelines and automate the MLOps/LLMOps lifecycle.
• Design APIs, microservices and orchestration layers optimized for latency, cost and reliability.
• Mentor junior engineers and contribute to proposals and new business initiatives.

Required profile

• 6+ years of experience delivering AI/ML or data‑driven solutions in production.
• Strong expertise in Python and solid Git practices.
• Hands‑on experience with LLM‑powered solutions, RAG systems and modern GenAI development patterns.
• Proven ability to design evaluation strategies and quality gates for AI systems.
• Experience with MLOps/LLMOps tools such as MLflow or Weights & Biases.
• Solid cloud experience with AWS, Azure (preferred) or GCP.
• Experience with containerization, orchestration and building scalable inference services.
• Excellent communication skills with engineering teams, senior stakeholders and clients.

Required skills

• Python
• Git
• LLM‑powered solutions
• Retrieval‑Augmented Generation (RAG)
• Prompt engineering
• Evaluation metrics (recall@k, precision@k)
• MLflow
• Weights & Biases
• AWS
• Azure
• GCP
• Docker
• Kubernetes
• APIs
• Microservices
• Event‑driven architecture

What we offer

• Daily lunches with vegetarian, vegan and gluten‑free options; gourmet meals on Fridays.
• Flexible working arrangements to support work‑life balance.
• All necessary equipment including MacBook and accessories.
• Snacks, beverages and on‑site sports facilities such as football, tennis and game nights.
• Learning opportunities including AWS certifications, English lessons and tech talks.
• Mentoring and development programs to shape your career path.
• Anniversary and birthday gifts.