[Job-31910] AI Engineer, Brazil

 We are looking for an AI Engineer to join a delivery team building Generative AI solutions for a global enterprise client. You will take LLM-based use cases from PoC to production, working on RAG systems, document intelligence, and conversational AI, mainly on Azure with some AWS workloads.

Must-have

• 4+ years in Machine Learning / AI engineering, with at least 2 years hands-on with LLMs and Generative AI.
• Proven experience delivering RAG or LLM-based applications beyond PoC stage.
• Strong Python skills and experience with LangChain (or similar frameworks like LlamaIndex or Semantic Kernel).
• Hands-on experience with Azure AI services: Azure OpenAI, Azure AI Search, Azure AI Foundry/AI Studio, Cosmos DB, and Blob Storage.
• Experience with vector databases/indexes (Azure AI Search, FAISS, or similar) and embedding models.
• Experience with multiple LLM families (OpenAI GPT, Anthropic Claude, Google Gemini, open-source models like Llama via Hugging Face).
• CI/CD experience (Azure DevOps and/or GitHub Actions) and familiarity with MLOps tooling such as MLflow.
• Fluent English for daily communication with international stakeholders.

Nice-to-have

• AWS ML services: SageMaker, Textract, Comprehend, Bedrock.
• Document AI and OCR: LayoutLM, Layout-Parser, Tesseract/EasyOCR, Azure Document Intelligence.
• Computer Vision (object detection, e.g. Detectron2) and multimodal/vision LLMs.
• Speech recognition (ASR) solutions.
• Fine-tuning experience (LoRA/PEFT) on open-source models.
• LLM caching and performance (Redis, semantic cache).
• Kubeflow, Kubernetes, or containerized model serving.
• Classical ML: anomaly detection, recommendation engines, NLP with spaCy.
• Experience with agentic patterns (tool use, multi-agent orchestration, MCP).