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.
?
Spin está comprometida con un lugar de trabajo diverso e inclusivo.
Somos un empleador que ofrece igualdad de oportunidades y no discrimina por motivos de raza, origen nacional, género, identidad de género, orientación sexual, discapacidad, edad u otra condición legalmente protegida.
Si desea solicitar una adaptación, notifique a su Reclutador.

📌 Ic4 - Sr Ai Engineer (México)
🏢 Solicitud de empleo para IC4
📍 México