AIEngineer

AI Engineer – Generative AI & Agentic Systems We’re looking for an exceptional AI Engineer to join our growing Data & AI practice and help build the next generation of AI-powered solutions. This role is ideal for someone who loves working at the edge of what’s possible with LLMs, RAG, agents, semantic search, multimodal AI, and intelligent automation — and who wants to turn cutting-edge ideas into real, production-ready systems for clients across industries. This position is open to candidates based in LATAM or the United States. What You’ll Do Design, build, and deploy advanced AI solutions using LLMs, RAG, embeddings, vector databases, semantic search, and agentic architectures. Develop intelligent systems that can process documents, retrieve knowledge, generate content, automate workflows, and transform unstructured data into actionable insights. Work with modern GenAI and AI engineering tools such as LangChain, LangGraph, Hugging Face, PyTorch, MCP, multi-agent frameworks, and cloud-native AI services. Build scalable, reliable AI applications across Azure, AWS, Databricks, or similar cloud/data platforms. Experiment with and evaluate foundation models, prompts, retrieval strategies, orchestration patterns, and performance optimization techniques. Collaborate closely with engineering, product, data, and business teams to define the right technical approach and deliver high-impact AI solutions. Stay plugged into the fast-moving GenAI ecosystem and bring new ideas, tools, and prototypes into real-world applications. What You Bring Strong experience in AI, machine learning, data science, or AI engineering, with hands-on exposure to production-scale solutions. Deep interest and practical experience with Generative AI, including LLMs, RAG, vector search, embeddings, agents, and AI workflow orchestration. Strong Python skills and experience with modern ML/AI frameworks and libraries. Experience building on cloud or data platforms such as Azure, AWS, GCP, Databricks, or