AI Engineer Manager

Uruguay
February 12, 2026
Remote
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Job Description

An experienced AI Engineer Manager is required to lead the design, development, and deployment of production-ready Generative and Applied AI solutions. This role blends hands-on technical leadership with cross-functional collaboration to deliver scalable, secure, and high-impact AI systems that move from prototype to real-world production.

Key Responsibilities

  • Architect, implement, and deploy production-ready AI solutions using LLMs, transformer-based models, retrieval systems, and agentic workflows.
  • Design, iterate, and optimize prompts, workflows, and RAG pipelines to improve accuracy, latency, cost-efficiency, and safety.
  • Build multi-step agentic systems capable of task decomposition, tool and API invocation, state management, and robust reasoning chains.
  • Deploy and maintain GenAI pipelines across API, batch, and streaming environments, ensuring reliability and scalability.
  • Develop and maintain evaluation frameworks to measure grounding, factuality, latency, and cost of AI systems.
  • Implement guardrails and safeguards including prompt-injection protection, content moderation, output validation, loop prevention, and tool-call limits.
  • Collaborate cross-functionally with Product, Engineering, and ML Ops teams to deliver high-quality AI features end-to-end.

Requirements / Qualifications

  • Minimum of 3 years of experience in applied machine learning with strong exposure to NLP, transformers, or generative AI systems.
  • Hands-on experience with LLM and agent frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, Azure Prompt Flow, AWS Bedrock agents, or similar tools.
  • Proven experience designing and operating multi-step agentic systems with appropriate safety and reliability safeguards.
  • Solid ML foundations with experience building and deploying models into production environments (API, batch, or streaming).
  • Strong Python skills with clean, modular, and production-grade coding practices.
  • Demonstrated ability to design, run, and analyze experiments using metrics-driven decision-making.
  • Experience deploying and monitoring AI-powered applications in cloud environments (AWS, Azure, or GCP), including containerization, versioning, and CI/CD.
  • Experience or strong interest in Responsible AI practices including privacy, bias mitigation, and safety guardrails.
  • Degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
  • Advanced English proficiency for effective communication with international teams and stakeholders.
  • Strong collaboration skills with the ability to operate at the intersection of Data Science and Engineering, owning solutions from prototype to production.

Perks and Benefits

  • Daily lunch options at headquarters, including vegetarian, vegan, gluten-free, and sugar-free meals
  • Gourmet meals every Friday with an on-site chef
  • Flexible working options to support work-life balance
  • MacBook and required accessories
  • Snacks and beverages available daily at headquarters
  • After-office events including football, tennis, pool games, chess championships, game and music nights
  • Weekly football league and access to tennis courts
  • Learning opportunities including AWS certifications, study plans, courses, certifications, English lessons, and Tech Tuesdays
  • Mentoring and career development opportunities
  • Anniversary and birthday gifts
  • Great location and collaborative team environment

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