AI Agent Developer | Remote LATAM Only

Agentic Dream; Venezuela; Presencial; VES 29.600.394 - 44.400.591; Jornada completa

Descripción de la vacante

Agentic Dream is seeking a highly skilled AI Agent Developer to create advanced AI solutions that empower businesses. This role involves designing and developing AI-powered agents, utilizing machine learning and natural language processing to optimize performance. You will collaborate with teams to deploy intelligent solutions and enhance customer interactions. The position allows for 100% remote work but is only open to candidates based in Latin America. Strong expertise in TensorFlow, NLP, and backend development is required.

Formación

• Proficiency in AI/ML frameworks and NLP, with strong development skills.
• Hands-on experience with RAG and prompt engineering.
• Experience in integrating AI with API-driven applications.

Responsabilidades

• Design and develop AI-driven agents for customer service and process automation.
• Implement LLMs and NLP techniques to enhance capabilities.
• Optimize techniques for efficiency and accuracy.

Conocimientos

Proficiency in AI/ML frameworks: TensorFlow, PyTorch, LangChain, OpenAI API, Hugging Face

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)

Knowledge of cloud services (AWS, Azure, or GCP)

Experience integrating AI with API-driven applications

Familiarity with CI/CD pipelines and version control (Git)

Strong problem-solving and analytical skills

Descripción del empleo

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.