AI Machine Learning Engineer - Remote - Latin America

Company: FullStack

Location: Urb. San Francisco, Duarte (Remote)

Type: Full-time

Level: Junior

Remote: Yes

Posted: 2026-02-10

About this role

About FullStack
FullStack is the most transparent IT talent network, connecting highly skilled individuals with top global companies and Silicon Valley startups for remote, on-demand projects. We focus on building a trusted, high-performance network where talent can thrive in a positive, respectful, and supportive environment. By prioritizing transparency, fair opportunities, and professional growth, we empower our engineers to deliver their best work while collaborating with innovative teams worldwide.


We’re Most Proud Of

  • Offering life-changing opportunities for talented software professionals across the Americas.
  • Enhancing highly-skilled software development teams of hundreds of the world’s greatest companies.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Opportunity
Join our talent network and connect with U.S. clients for flexible, project-based development work as an AI Machine Learning Engineer.

  • You will integrate directly into our client's team and work alongside their existing designers and engineers on a daily basis.

What We're Looking For

  • 4+ years of professional experience as an Artificial Intelligence Engineer, Machine Learning Engineer, or similar role.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Proven experience developing and optimizing AI/ML models using Python and frameworks like LangChain.
  • Deep understanding of large language models (LLMs), prompt engineering, and the latest trends in generative AI.
  • Hands-on experience with retrieval-augmented generation (RAG) techniques and vector databases (e.g., FAISS, Pinecone, Weaviate).
  • Solid experience integrating and deploying AI/ML solutions into production environments.
  • Ability to design and maintain scalable, reliable AI infrastructure on cloud platforms such as AWS, GCP, or Azure.
  • Strong skills in documenting AI/ML workflows, architectu...

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