AI Agent Engineer

Latin America based only

100% remote

full time - dedicated

English B2 - C1

Responsibilities

• Agent Development & Deployment: Design, build, test, and deploy robust, stateful, and scalable AI agents using Python and modern agentic frameworks (Google ADK, LangChain, LlamaIndex, CrewAI, OpenAI SDK, etc.).
• Integration with data sources, other solutions: This is key as the agents will only deliver value if the integration is end-to-end to deliver significant value.
• LLM Evaluation & Optimization: Design and implement rigorous evaluation pipelines for LLM-powered agents, including testing and performance monitoring, focusing on accuracy, speed, and cost efficiency.
• Prompt Engineering & Tooling: Apply advanced prompt engineering techniques and develop custom tooling, retrieval-augmented generation (RAG), and external API connections to enhance agent capabilities and ensure grounded, reliable performance.
• Technical Scrutiny: Act as a subject matter expert on the latest advancements in generative AI technology, best practices, protocols, etc.

Requirements

• Experience: 3+ years of hands-on experience in software engineering, with at least 1-2 years dedicated to building and deploying production-grade AI/ML applications, specifically focused on Large Language Models (LLMs) or generative AI.
• Technical Mastery: Mandatory expertise in Python and deep familiarity with core LLM APIs and frameworks (OpenAI SDK, Google AI SDK, CrewAI, LangChain, etc.).
• Agentic System Knowledge: Proven experience implementing agentic systems, including knowledge of RAG, vector databases, and memory/state management.
• Engineering Fundamentals: Strong understanding of software development best practices, version control (Git/GitHub), and CI/CD pipelines. Experience with personal projects or demonstrable contributions on GitHub is a strong plus.
• Execution & Communication: Proven ability to translate high-level business needs into concrete, maintainable, and well-tested code.

These are the applicable requisites, although equivalent competencies in any of the above will also be considered.