Generative AI Engineer – LATAM Candidates Only

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Talentus Global

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

🤝 B2B

🎯 Recruiter

🏢 Enterprise

B2B • Recruitment • Enterprise

Talentus Global is a global talent and IT services company that provides smart sourcing, dedicated teams, managed IT services, and software outsourcing. It delivers engineering talent and project-based solutions across enterprise platforms such as Salesforce, ServiceNow, SAP, MuleSoft, Microsoft Dynamics 365, and EMR/EHR (Epic & Cerner), and supports clients across sectors including higher education. Talentus Global also operates talent marketplace and referral programs to scale technical teams and manage end-to-end delivery.

📋 Description

• 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.

🎯 Requirements

• 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

🏖️ Benefits

• Contractor model • Remote model • Salary in $USD • Paid Vacations • Day off for birthdays • Benefits courses and/or certifications • Opportunity to work with top-tier U.S. clients • Entrepreneurial, multicultural team culture