[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
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4+ years in Machine Learning / AI engineering, with at least 2 years hands-on with LLMs and Generative AI.
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Proven experience delivering RAG or LLM-based applications beyond PoC stage.
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Strong Python skills and experience with LangChain (or similar frameworks like LlamaIndex or Semantic Kernel).
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Hands-on experience with Azure AI services: Azure OpenAI, Azure AI Search, Azure AI Foundry/AI Studio, Cosmos DB, and Blob Storage.
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Experience with vector databases/indexes (Azure AI Search, FAISS, or similar) and embedding models.
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Experience with multiple LLM families (OpenAI GPT, Anthropic Claude, Google Gemini, open-source models like Llama via Hugging Face).
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CI/CD experience (Azure DevOps and/or GitHub Actions) and familiarity with MLOps tooling such as MLflow.
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Fluent English for daily communication with international stakeholders.
Nice-to-have
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AWS ML services: SageMaker, Textract, Comprehend, Bedrock.
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Document AI and OCR: LayoutLM, Layout-Parser, Tesseract/EasyOCR, Azure Document Intelligence.
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Computer Vision (object detection, e.g. Detectron2) and multimodal/vision LLMs.
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Speech recognition (ASR) solutions.
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Fine-tuning experience (LoRA/PEFT) on open-source models.
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LLM caching and performance (Redis, semantic cache).
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Kubeflow, Kubernetes, or containerized model serving.
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Classical ML: anomaly detection, recommendation engines, NLP with spaCy.
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Experience with agentic patterns (tool use, multi-agent orchestration, MCP).