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.

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

Generative AI Engineer – LATAM Candidates Only

Key skills