AI Agent 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 Agent 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 software development experience.
- Advanced English is required.
- Successful completion of a four-year college degree is required.
- Strong experience with Python or JavaScript/TypeScript.
- Hands-on experience with LLMs (OpenAI, Anthropic, Gemini, or similar).
- Experience building AI agents using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar.
- Solid understanding of prompt engineering, embeddings, and vector databases.
- Experience integrating AI agents with external systems, APIs, databases, and services.
- Strong problem-solving skills and ability to work independently in a remote environment.
- Experience with multi-agent systems.
- Knowledge of RAG (Retrieval-Augmented Generation) architectures.
- Experience deploying AI solutions to production.
- Ability to work through new a...