Sr AI Engineer

Role overview Join a Data and AI practice designing and deploying advanced generative AI solutions for clients across industries. The role focuses on turning cutting-edge LLM, RAG, agent, and multimodal techniques into reliable production systems, while staying plugged into a fast-moving ecosystem and bringing emerging ideas into real client work.

Responsibilities - Design, build, and deploy AI solutions using LLMs, RAG, embeddings, vector databases, semantic search, and agentic architectures. - Develop intelligent systems that process documents, retrieve knowledge, generate content, automate workflows, and convert unstructured data into actionable insights. - Work with modern GenAI and AI engineering tools such as LangChain, LangGraph, Hugging Face, PyTorch, MCP, and multi-agent frameworks, alongside cloud-native AI services. - Build scalable, reliable AI applications across Azure, AWS, Databricks, or comparable cloud and data platforms. - Experiment with and evaluate foundation models, prompts, retrieval strategies, orchestration patterns, and performance optimization techniques. - Partner with engineering, product, data, and business stakeholders to define technical approaches and deliver high-impact AI outcomes.

Requirements - Strong experience in AI, machine learning, data science, or AI engineering, with hands-on exposure to production-scale solutions. - Deep practical experience with Generative AI, including LLMs, RAG, vector search, embeddings, agents, and AI workflow orchestration. - Strong Python skills with modern ML and AI frameworks and libraries. - Experience building on cloud or data platforms such as Azure, AWS, GCP, Databricks, or similar. - Solid foundation in data science, experimentation, statistical thinking, or applied machine learning. - Comfort working with structured and unstructured data, including text, documents, images, emails, and spreadsheets. - Builder mindset with strong communication skills and the ability to partner with technical and non-technical stakeholders.

Nice to have - Advanced degree in Computer Science, Data Science, AI, Machine Learning, or a related technical field. - Experience with MCP, multi-agent systems, fine-tuning, LLM evaluation frameworks, multimodal AI, or production ML observability. - Prior consulting, client-facing, or cross-functional delivery experience.

Benefits and work setup - Open to candidates based in LATAM or the United States. Equal opportunity employer committed to evaluating all qualified applicants without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under applicable law.