About the 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.
Originally posted on Himalayas