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Open nowPosted 38 hours agoWe saw it 85 min after it went up

IC3 - AI Engineer

Spin Careers16 open roles

Where
México
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Your applicationOpen nowIC3 - AI EngineerSpin Careers · México

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The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. Spin Careers postings stay open a median of 21 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: posted 38 hours ago

Spin Careers median: 21 days open

The posting

Objective We’re building an AI-first organization — and we’re looking for engineers who actually build, not just experiment. We’re hiring an AI Engineer to develop, integrate, and maintain AI-powered products across our ecosystem — from LLM-based customer experiences to internal copilots that transform how teams operate.

You’ll be part of a centralized AI Products Chapter, embedding into squads to bring real AI solutions into production.

What you’ll do

  • Build and deploy Generative AI solutions (LLMs, RAG, agents, copilots) under standard production practices.
  • Implement scalable AI components and services within production systems.
  • Work across the full software lifecycle: assist in prototyping, deploy models, and optimize performance.
  • Integrate AI models with real-world systems, APIs, data platforms, and backend workflows.
  • Implement evaluation frameworks, monitoring mechanisms, and feedback loops to track model performance.
  • Partner with Product, Data, and Engineering squads to deliver impactful AI-driven features.

What we’re looking for

  • Solid software engineering background (Python + modern backend stack).
  • Hands-on experience building with LLMs, Generative AI, or NLP frameworks.
  • Practical experience deploying ML/AI features into production environments.
  • Familiarity with cloud services (AWS/GCP), API design, and data pipelines.
  • A strong problem-solving, execution-oriented, and continuous-learning mindset.

Why this role

  • You won’t just build models → you’ll ship real AI products into production.
  • You’ll collaborate across multiple squads → gain broad exposure and technical growth.
  • You’ll contribute directly to shaping best practices for AI Engineering within the organization.

Required Knowledge & Experience

  • Experience: 3–5 years of overall experience in Data & Tech, with at least 1.5–2 years of hands-on experience developing AI/ML and Generative AI solutions.
  • Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Applied Mathematics, or a related technical field.
  • AI Competencies: Strong foundational understanding of Deep Learning, Natural Language Processing (NLP), and Generative AI (LLMs, RAG architecture, function calling, agents).
  • Technical Stack: Proficiency in Python and familiarity with ML libraries (PyTorch or TensorFlow), alongside hands-on use of AI frameworks (LangChain, LlamaIndex, or Hugging Face).
  • Cloud & Data Platforms: Hands-on experience with cloud-native AI/ML services (AWS SageMaker or Google Vertex AI) and standard data processing tools.
  • Infrastructure & Tools: Practical experience using vector databases (Pinecone, Milvus, Qdrant, or Weaviate) and MLOps tools for model tracking and logging.
  • Communication: Ability to clearly explain technical trade-offs and AI concepts to both technical teammates and product partners.
  • Ethics & Compliance: Basic understanding of AI safety, data privacy, and responsible AI practices.
  • Soft Skills: Proactive problem-solving, strong sense of ownership, willingness to learn, and commitment to writing clean, maintainable code.

If you’re excited about building real AI products (not just talking about them), we should talk. 🚀

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