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AI Machine Learning Engineer - Remote - Latin America

Huancayo
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    AI Machine Learning Engineer - Remote - Latin America

Servicios y consultoría de TI, Seguridad de redes y sistemas informáticos y Servicios de información

Resumen

About FullStack

FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence.

We’re Most Proud Of

  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world’s greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.1-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, architectural decisions, and best practices.
  • Experience with MLOps, CI/CD pipelines, and maintaining production-grade AI systems.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile / Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.
  • Ability to consistently work 40 hours per week.

Work Authorization Requirements

  • Applicants must be currently authorized to work in the country of this job posting on a full-time basis.
  • FullStack will not sponsor applicants for work visas now or in the future.

What We Offer

  • Competitive pay.
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Continuing education opportunities.
  • Opportunity to grow and expand your career.

Our talent network is committed to fostering a diverse, inclusive, and accessible environment where IT professionals can find opportunities that match their skills. We welcome individuals of all races, religions, genders, sexual orientations, national origins, abilities, and experiences. Our focus is on connecting talent with projects based on qualifications, ensuring a fair and transparent process that values diverse perspectives and global collaboration.

Learn more about our Applicants Privacy Notice.
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