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Open nowPosted 42 hours agoWe saw it 87 min after it went up

IC4 - Sr AI Engineer

Spin Careers16 open roles

Where
México
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Your applicationOpen nowIC4 - Sr 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 42 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 a Senior AI Engineer to design, develop, and scale 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).
  • Design and implement scalable AI systems in production.
  • Work across the full lifecycle: prototype → deploy → optimize.
  • Integrate models with real systems (APIs, data platforms, workflows).
  • Create evaluation frameworks, monitoring, and feedback loops.
  • Partner with Product, Data, and Engineering to ship real impact.

What we’re looking for

  • Strong software engineering background (Python + modern stack).
  • Hands-on experience with LLMs / Generative AI / NLP.
  • Experience building and deploying ML/AI systems in production.
  • Familiarity with cloud (AWS/GCP), APIs, and data pipelines.
  • Strong problem-solving and execution mindset.

Why this role

  • You won’t just build models → you’ll ship real AI products.
  • You’ll work across multiple squads → high leverage impact.
  • You’ll help define how AI Engineering is done at scale.

Required Knowledge & Experience

  • Experience: 7+ years in Data & Tech, with at least 3 years specifically focused on AI/ML and hands-on experience in senior technical roles. Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Applied Mathematics, or a related field. AI Expertise: Deep understanding of Deep Learning, Natural Language Processing (NLP), and Gen AI (LLMs, RAGs, Agents, etc.). Technical Stack: Proficiency in Python (PyTorch, TensorFlow) and experience with AI development frameworks (LangChain, LlamaIndex, Hugging Face). Cloud & Big Data: Experience in cloud-native AI services (AWS SageMaker or Google Vertex AI) and big data frameworks. Infrastructure: Familiarity with vector databases (Pinecone, Milvus, Weaviate) and MLOps tools for model tracking. Communication: Ability to explain complex AI concepts to non-technical stakeholders in a business-centric way. Ethics & Compliance: Knowledge of AI governance, including data privacy and model interpretability. Soft Skills: Proactive problem-solving, strategic thinking, and commitment to high-quality code and innovation. If you’re excited about building real AI products (not just talking about them), we should talk. 🚀

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