Generative AI Engineer- (LATAM CANDIDATES ONLY)
# Generative AI Engineer- (LATAM CANDIDATES ONLY) **Talentus Global** · Bolivia; Brazil; Chile; Colombia; Costa Rica; Dominican Republic; Ecuador; El Salvador; Honduras; Mexico; Nicaragua; Panama; Paraguay; Peru; Uruguay · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Generative-AI-Engineer]` `[AI-Engineer]` `[Machine-Learning-Engineer]` `[Software-Engineer]` --- ### About the Role At Talentus Global , we are looking for you! We are a U.S. company with a strong presence in LATAM and across 20+ countries around the world. Some of our key near-shore BPO services include: smart-sourcing, dedicated or cluster teams, managed IT services, software outsourcing, and top ERP & CRM solutions—driven by our practices across many industries, including Higher Education. We are currently looking for a Generative AI Engineer , to become a valuable addition to our dynamic team! Responsibilities: - Design, develop, and deploy Generative AI solutions leveraging Large Language Models (LLMs) and multimodal AI technologies. - Build and maintain scalable AI applications using cloud platforms such as Azure, AWS, or GCP. - Develop and optimize Retrieval-Augmented Generation (RAG) architectures, vector databases, and knowledge retrieval systems. - Fine-tune, evaluate, and monitor foundation models to improve performance, accuracy, and reliability. - Implement prompt engineering strategies and AI orchestration frameworks to support business use cases. - Collaborate with software engineering, data science, DevOps, and security teams to integrate AI solutions into production environments. - Develop APIs, microservices, and AI-powered applications following software engineering best practices. - Ensure compliance with AI governance, security, privacy, and responsible AI standards. - Monitor AI workloads, model performance, and operational costs, recommending continuous improvements. - Stay current with emerging Generative AI technologies, frameworks, and industry trends. Qualifications: - Minimum 3 years of experience in software engineering, machine learning, data science, or Generative AI development. - Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field preferred. - Hands-on experience building and deploying applications using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, or similar. - Experience with AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent. - Strong programming skills in Python and experience with REST APIs and backend development. - Experience implementing RAG architectures, vector databases (Pinecone, Weaviate, Chroma, Azure AI Search, or similar), and document processing pipelines. - Experience with cloud platforms (Azure preferred, AWS, or GCP) and AI-related services. - Knowledge of machine learning fundamentals, model evaluation techniques, and MLOps practices. - Familiarity with containerization and orchestration tools (Docker, Kubernetes) is highly desirable. - Experience with CI/CD pipelines, infrastructure automation, and production deployments. - Strong understanding of security, data privacy, and responsible AI principles. - Experience working in Agile development environments. - Advanced English proficiency (C1 level or higher) with strong verbal and written communication skills. - Must have experience working for US clients What do we offer? · Contractor model · Remote model · Salary in $USD · Day off for birthdays · Benefits courses and/or certifications -Opportunity to work with top-tier U.S. clients. -Entrepreneurial, multicultural team culture. Join us if you have what it takes to be part of the Talentus Global Team! Originally posted on Himalayas
- Generative-AI-Engineer
- AI-Engineer
- Machine-Learning-Engineer
- Software-Engineer
Наблюдалась 2026-10-19, впервые 2026-10-19, источник — Himalayas (JSON API).