Generative AI Engineer- (LATAM CANDIDATES ONLY)

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