Senior AI Engineer

Job not on LinkedIn

🕒 March 18

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of MTP Brasil

MTP Brasil

501 - 1000 employees

A MTP é uma empresa multinacional espanhola com 17 anos de especialização e referência em serviços de Qualidade de Software. Possuímos fábricas de testes de software com certificações ISO 9001 e TMMi Nível 5, que em 2013 fomos a primeira empresa do mundo a alcançar esta última certificação. Em conjunto, as fábricas atingem uma capacidade de 1.000.000 horas de testes / ano. Desenvolvemos diversas soluções, entre elas destaca-se a OMNIATEST, uma metodologia com base nos parâmetros definidos pelo ISTQB e certificada no Nível 5 do modelo TMMi. A OMNIATEST cobre todo o processo de testes de qualidade de software, desde a revisão dos requisitos até os testes em produção. Com isso, prestamos serviços em diversos setores, principalmente nos de Telecomunicações, Bancos, Seguros, Utilities e Administração Pública, onde adquirimos experiência em Engenharia de Requisitos, Metodologias de Gestão de Testes de Software, Verificação e Validação de Sistemas e Melhorias de Processos etc...

📋 Description

• The AI Engineer will play a key role in designing, developing, and deploying generative artificial intelligence solutions for real business applications. • The position focuses on building Retrieval-Augmented Generation (RAG) pipelines, integrating Large Language Models (LLMs) into production systems, and collaborating with cross-functional teams to deliver end-to-end AI products. • The professional will also contribute to responsible AI practices and to the continuous advancement of the organization's AI capabilities. • Design, build, and optimize RAG pipelines, including ingestion, chunking, embeddings generation, and data retrieval. • Integrate and orchestrate LLMs using frameworks such as LangChain and LlamaIndex. • Develop and manage vector database infrastructures, such as Pinecone, ChromaDB, FAISS, pgvector, or Weaviate. • Build evaluation frameworks to measure model accuracy, latency, groundedness, and cost. • Apply prompt engineering techniques to reduce hallucinations and improve response quality. • Develop agentic AI solutions with robust 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 advances in generative AI, recommending new tools, techniques, and best practices. • Support responsible AI practices, including bias detection, safe handling of outputs, and considerations around PII (personally identifiable information).

🎯 Requirements

• Strong proficiency in Python and SQL — 4+ years of experience. • Solid knowledge of Data Science and Machine Learning, combined with application development skills — 4+ years of experience. • Hands-on experience building end-to-end RAG pipelines — 4+ years of experience. • Experience with LLMs, embedding models, and Transformer architectures — 4+ years of experience. • Experience with cloud platforms (Azure, AWS, GCP) — 3+ years of experience. • Familiarity with LLM orchestration tools such as LangChain, LlamaIndex, OpenAI Agents SDK, Semantic Kernel SDK, or Pydantic AI SDK. • Ability to develop production-quality code in Python and JavaScript.

🏖️ Benefits

• Health insurance • Dental insurance • Meal voucher • Transportation allowance • Culture voucher • Education voucher • Life insurance • Mental health and wellness program • Childcare assistance • Partner discounts

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