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IC4 - Sr AI Transformation Analyst

Spin Careers

Skills

Required

  • AI
  • LLMs / Generative AI / NLP
  • Data
  • Python
  • cloud
  • APIs
  • Agents
  • AWS
  • software engineering
  • modern stack
  • ML/AI
  • AWS/GCP
  • PyTorch
  • TensorFlow
  • Weaviate

Preferred

  • RAG
  • copilots
  • data platforms
  • workflows
  • AI Engineering

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.

About Spin Careers

Objective

Responsibilities

  • 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.
  • 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.

Requirements

  • 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.
  • 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 businesscentric 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.