AI Engineer – Mid/Senior

Posted 14ds ago

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Job Description

Engenheiro de IA projetando e otimizando pipelines de RAG para aplicações de IA. Colaborando com equipes de Data Engineering e desenvolvimento para entregas eficientes.

Responsibilities:

  • Design, develop, and optimize RAG pipelines, including: data ingestion, chunking, embedding generation, and information retrieval (retrieval)
  • Integrate and orchestrate Large Language Models (LLMs) using frameworks such as: LangChain, LlamaIndex
  • Develop and manage vector database infrastructures, such as: Pinecone, ChromaDB, FAISS, pgvector, Weaviate
  • Build model evaluation frameworks, considering: accuracy, latency, groundedness, and execution cost
  • Apply prompt engineering techniques to reduce model hallucinations and improve response quality
  • Develop Agentic AI solutions with control mechanisms (guardrails), either from scratch or using existing frameworks
  • Collaborate with Data Engineers and Full Stack Developers to deliver end-to-end AI applications
  • Stay up to date with developments in the Generative AI space, proposing new tools, techniques, and best practices
  • Support responsible AI practices, including: bias detection, safe response controls, and handling of sensitive data (PII).

Requirements:

  • Strong proficiency in Python and SQL
  • Solid knowledge in Data Science, Machine Learning, and application development
  • Hands-on experience building end-to-end RAG pipelines
  • Experience with LLMs, embedding models, and Transformer architectures
  • Ability to write production-quality code in Python and JavaScript
  • Experience with cloud platforms: Microsoft Azure, AWS, Google Cloud Platform
  • Experience with LLM orchestration tools such as: LangChain, LlamaIndex, OpenAI Agents SDK, Semantic Kernel SDK, Pydantic AI SDK
  • Knowledge of tokenization techniques, such as: BPE, SentencePiece, tiktoken
  • Experience in API development and model serving using FastAPI and Flask
  • Experience integrating enterprise data using the Model Context Protocol (MCP).

Benefits:

  • Remote work
  • Professional development opportunities