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Engenheiro de Software - Ia Generativa - Remoto

Sorocaba / SP

Vaga cód. 29376186209



Oportunidade aberta em Sorocaba, SP na área Informática / TI, postada em 09/05/2025.

CORUS Consulting

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Engenheiro de Software - Ia Generativa - Remoto


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Corus Consulting is a consulting firm with more than 15 years of experience with different clients worldwide; we have presence in Europe, United States, Asia and Mexico.We are looking for your talent to work as:Software Engineer Generative AI Description:We are seeking a highly skilled and experienced full-stack Software Engineer Expert Senior Manager with Gen AI /LLM expertise to join our Gen AI platform team.
This role focuses on building and maintaining cloud-native platforms specifically designed for Generative AI and Large Language Model (LLM) development.
The ideal candidate will have a strong background in reusable software components, frameworks, microservices and APIs, cloud infrastructure, and DevOps/MLOps/LLMOps, with a passion for creating scalable, reliable, and efficient systems.Location:Fully Remote in Mexico, Colombia or BrasilMust-Have Requirements:Advanced English Level skillsProven experience in Generative AI/ LLM based development.Strong knowledge and experience in building conversational agent-based UX.Strong experience working with key LLM models APIs (e.g.
AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g.
LangChain, LlamaIndex)Experience with multi-agent frameworks and an understanding of multi-agent systems and their applications in complex, multi-step problem-solving scenarios.Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data including indexing, search, and advance retrieval patterns.Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information retrieval.Knowledge and Experience in building knowledge graphs in production.Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models.Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and all associated GenAI libraries and frameworks.Experience with containerization and orchestration technologies (Kubernetes, Docker).

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