AI Agent Developer | Remote LATAM Only

We are looking for a highly skilled AI Agent Developer to build advanced AI-driven solutions that empower businesses through cutting-edge technologies. This role focuses on designing, developing, and optimizing AI-powered agents that leverage machine learning, natural language processing (NLP), and automation frameworks. You will collaborate with cross-functional teams to deliver intelligent solutions that enhance business operations, customer interactions, and automation workflows. This role is 100% remote but only open to candidates based in Latin America (LATAM). Applications outside this region will not be considered. Key Responsibilities Design and develop AI-driven agents for customer service, process automation, and knowledge retrieval. Implement LLMs (Large Language Models) and NLP techniques to improve AI agent capabilities. Optimize prompt engineering and retrieval-augmented generation (RAG) techniques for efficiency and accuracy. Integrate AI models with APIs, cloud services, and existing enterprise systems . Fine-tune AI models and continuously improve their context awareness and problem-solving capabilities . Work with vector databases, embeddings, and knowledge graphs for AI memory and reasoning. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers , to deploy AI-driven solutions. Monitor and improve AI performance using A/B testing, feedback loops, and real-world user interactions . Requirements Required Skills & Experience Proficiency in AI/ML frameworks : TensorFlow, PyTorch, LangChain, OpenAI API, Hugging Face, or similar. Strong experience in NLP, LLM fine-tuning, and embedding models . Hands-on experience with retrieval-augmented generation (RAG) and prompt engineering . Expertise in Python, FastAPI, Flask, or similar backend frameworks . Experience with vector databases (Pinecone, Weaviate, FAISS, ChromaDB, etc.) . Knowledge of cloud services (AWS, Azure, or GCP) and serverless architectures . Experience integrating AI with API-driven applications and automation workflows . Familiarity with CI/CD pipelines, version control (Git), and Agile methodologies . Strong problem-solving and analytical skills, with a passion for AI innovation. Preferred Qualifications Experience with multi-agent architectures and AI-driven decision-making systems . Understanding of graph neural networks (GNNs) and symbolic AI . Experience with LLM orchestration tools such as AutoGPT, BabyAGI, CrewAI, or OpenDevin . Contributions to open-source AI projects or publications in AI/ML research. Knowledge of ethical AI principles and responsible AI deployment . Originally posted on Himalayas