Senior Ai/Ml Engineer

OverviewSenior AI/ML Engineer - Remote - Latin America at FullStack LabsJoin our talent network to connect with U.S. clients for flexible, project-based development work as a Senior AI/ML Engineer.About FullStackFullStack 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 OfOffering 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 OpportunityJoin our talent network and connect with U.S. clients for flexible, project-based development work as a Senior AI/ML 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 (Qualifications)5+ years of professional AI/ML Engineering experience.Advanced English is required.Successful completion of a four-year college degree is required.Demonstrated experience deploying AI-powered products into production environments.Strong background in software development, with focus on scalability, performance, and security.Ability to write clean, maintainable, and efficient code.Solid understanding of software architecture and design patterns.Proficiency in Python for AI/ML applications and backend development.Hands-on experience with React for building user-facing applications.Strong knowledge of Large Language Models (LLMs), including integration and deployment.Familiarity with Amazon Bedrock, with understanding of captive vs. open models.Ability to bridge AI prototypes into production-ready systems.Experience evaluating when to apply AI/ML techniques vs. traditional coding approaches.Understanding of data privacy, compliance, and security requirements in production systems.Knowledge of Retrieval-Augmented Generation (RAG) techniques is a plus.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 and deliver on commitments.Ability to identify with the goals of FullStack's clients and deliver on those commitments.Ability to consistently work 40 hours per week.What We Offer (Benefits)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.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustriesIT Services and IT ConsultingComputer and Network SecurityInformation ServicesReferrals increase your chances of interviewing at FullStack Labs by 2x
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