IC4 - Sr AI Engineer

Spin; México; Presencial; MXN 800.000 - 1.200.000; Jornada completa

Descripción de la vacante

Spin is hiring a Senior AI Engineer to design, develop, and scale AI-powered products across our ecosystem. You will embed in squads to bring production-ready AI solutions, from LLM-based experiences to internal copilots that transform how teams operate.

You will deploy scalable AI systems, integrate with real systems, and collaborate with Product, Data, and Engineering to deliver measurable business impact. Expect a hands-on role shaping AI engineering standards and governance.

Formación

• 7+ years in Data & Tech, with 3+ years in AI/ML and hands-on senior roles.
• Bachelor's or Master's in Data Science, CS, applied Math, or related field.
• Deep understanding of Deep Learning, NLP, and Gen AI (LLMs, RAGs, Agents).
• Proficiency in Python (PyTorch, TensorFlow) and AI frameworks (LangChain, LlamaIndex, Hugging Face).
• Experience with cloud-native AI services (AWS SageMaker or Vertex AI) and big data frameworks.
• Familiarity with vector databases (Pinecone, Milvus, Weaviate) and MLOps tools for model tracking.
• Strong communication to explain AI concepts to non-technical stakeholders.

Responsabilidades

• Build and deploy Generative AI solutions (LLMs, RAG, agents, copilots).
• Design and implement scalable AI systems in production.
• Work across full lifecycle: prototype → deploy → optimize.
• Integrate models with APIs, data platforms, and workflows.
• Create evaluation, monitoring, and feedback loops for AI products.
• Partner with Product, Data, and Engineering to ship real impact.

Conocimientos

Python

LLMs / Generative AI

NLP

Cloud (AWS/GCP)

Data pipelines

MLOps

Educación

Bachelor's or Master's in CS/DS/Applied Math

Herramientas

PyTorch

TensorFlow

LangChain

LlamaIndex

Hugging Face

Pinecone

Milvus

Weaviate

Descripción del empleo

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.

En Spin estamos comprometidos con construir un lugar de trabajo diverso e inclusivo.

Creemos en la igualdad de oportunidades y promovemos un entorno libre de discriminación por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad o cualquier otra condición legalmente protegida.