AI Agent Developer | Remote LATAM Only

Agentic Dream Inc.; Venezuela; Remote; VES 78,878,000 - 122,699,000; Full time

Job summary

Agentic Dream Inc. seeks an AI Agent Developer to design and deploy AI-driven agents leveraging ML, NLP, and automation. This fully remote role is open to LATAM-based candidates, emphasizing cross-functional collaboration and scalable AI solutions for business operations.

You will work on RAG, vector databases, and LLMs, partnering with data scientists and engineers to deliver advanced AI capabilities across customer service and automation workflows.

Qualifications

• Expert in AI/ML frameworks and NLP techniques for building AI-driven agents.
• Hands-on experience with retrieval-augmented generation (RAG) and prompt engineering.
• Experience with vector databases and embeddings.
• Proficient in Python and backend frameworks (FastAPI/Flask).
• Familiarity with cloud services and serverless architectures.
• Strong problem-solving and collaboration with cross-functional teams.

Responsibilities

• Design and develop AI-driven agents for customer service and automation.
• Implement LLMs and NLP to improve agent capabilities.
• Optimize prompt engineering and RAG for efficiency and accuracy.
• Integrate AI models with APIs, cloud services, and enterprise systems.
• Fine-tune AI models to improve context awareness.
• Work with vector databases and knowledge graphs for memory and reasoning.
• Collaborate with data scientists, engineers, and product managers to deploy AI solutions.
• Monitor AI performance using A/B testing and real-world feedback.

Skills

TensorFlow

PyTorch

LangChain

OpenAI API

Hugging Face

NLP

LLM fine-tuning

RAG

Python

FastAPI

Git

CI/CD

Vector databases

Pinecone

Weaviate

FAISS

ChromaDB

AWS

Azure

GCP

Tools

FastAPI

Flask

Git

CI/CD pipelines

Job description

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 .

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 .