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...