Empleo de Artificial Intelligence (LLM) Engineer - Remote - Mx. en Remoto - Solo México-112251-MX

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Artificial Intelligence (LLM) Engineer - Remote - Mx. en IncFile

Sueldo oculto

Remoto: México

Empleado de tiempo completo

Inglés : Nivel Avanzado

We are Bizee (formerly IncFile) - now looking for an AI Engineer with strong experience in Large Language Models (LLMs) to join our growing team. In this role, you will work closely with cross-functional teams across the company to prototype, build, and implement AI solutions that solve real business challenges. The ideal candidate is both hands-on and collaborative, with a passion for applying cutting-edge AI techniques to create practical, scalable tools.

Responsibilities
  • Collaborate with business units to identify opportunities for LLM-driven solutions.

  • Prototype, test, and iterate on AI applications using state-of-the-art LLMs and related technologies.

  • Design and implement production-ready AI systems that integrate with existing infrastructure.

  • Fine-tune and optimize models for specific business use cases.

  • Evaluate performance and scalability of AI solutions.

  • Stay current with the latest research and trends in natural language processing, generative AI, and LLM architectures.

  • Work closely with data engineers, developers, and other stakeholders to deliver high-impact solutions.

Qualifications
  • 2-3 years of experience working directly with LLMs (e.g., OpenAI, Anthropic, Hugging Face, Cohere, custom architectures).

  • Advanced English (Mandatory) - Both written and spoken.
  • Strong programming skills in Python (experience with PyTorch, TensorFlow, or JAX preferred).

  • Hands-on experience with fine-tuning, prompt engineering, embeddings, retrieval-augmented generation (RAG), and model deployment.

  • Experience with cloud platforms (such as AWS, GCP, or Azure) and containerization (Docker).

  • Solid understanding of machine learning fundamentals (data preprocessing, model training, evaluation).

  • Ability to translate complex technical concepts into practical business solutions.

  • Strong communication and collaboration skills.

Nice to Have
  • Experience with multi-modal models (text + images, audio, etc.).

  • Knowledge of MLOps best practices (CI/CD for ML, model monitoring, experiment tracking).
    Background in applied research or contributions to open-source AI projects.

  • Previous work in enterprise environments.

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • PhD in a relevant field is a plus.


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