AI Agent Developer | Remote LATAM Only

Agentic Dream · Venezuela · posted today ago

Listing supplied by Himalayas. 101 Careers did not originate this post and applications are handled by the employer.

About this role

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.