Description
Summary LATAM based ONLY 100% remote Full Time English C2-B1 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 is 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.