AI Engineer

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CoreStory

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🤖 Inteligência Artificial

☁️ SaaS

🏢 Corporativo

🔥 Investimento no último ano

💰 $32.000.000 Series A em 2025-11

Artificial Intelligence • SaaS • Enterprise

CoreStory é uma plataforma SaaS que constrói uma camada de especificação persistente e baseada em código, além de um modelo de inteligência para bases de código grandes e complexas. A plataforma ingere continuamente código-fonte e artefatos relacionados para criar uma compreensão durável e consultável da arquitetura do sistema, fluxos de trabalho, regras de negócios e intenções, e fornece esse contexto para engenheiros, equipes de produto e agentes de IA em diversas ferramentas. O CoreStory é utilizado para modernização de legado, manutenção de aplicativos, integração de desenvolvedores e geração de código assistida por IA, ajudando a reduzir riscos, acelerar a entrega e preservar o conhecimento institucional.

Descrição

• Design, implement, and optimize LLM-powered systems (e.g., RAG, chat agents, summarizers, knowledge graph integration). • Build and manage data indexing and retrieval pipelines using LlamaIndex, LangChain, or similar frameworks. • Implement and maintain vector databases (e.g., Pinecone, Neo4j, Weaviate, Chroma, or Azure Cognitive Search). • Integrate open-source and proprietary LLMs (e.g., GPT, Claude, Llama) into the CoreStory Platform. • Develop and refine AI-driven features — including generative insights, automated summarization, and narrative analytics. • Collaborate with DevOps and backend teams to deploy scalable AI services within CoreStory’s cloud infrastructure. • Continuously benchmark model performance, latency, and cost, identifying opportunities for optimization. • Stay current with advancements in AI — from model architectures to emerging frameworks — and propose innovative applications aligned with CoreStory’s mission. • Contribute to internal documentation, experimentation frameworks, and evaluation methodologies.

🎯 Requisitos

• 7+ years of overall engineering experience with at least 3+ years of experience in AI engineering, machine learning, or applied NLP. • Strong hands-on experience with LlamaIndex, LangChain, or similar orchestration frameworks. • Experience designing and implementing vector database solutions (e.g., Pinecone, Neo4j, FAISS, Milvus, Weaviate). • Solid understanding of LLM APIs (OpenAI, Anthropic, Mistral, Hugging Face, etc.). • Proficiency in Python, with experience in libraries such as FastAPI, Pandas, or NumPy. • Understanding of retrieval-augmented generation (RAG) patterns, embeddings, and tokenization. • Familiarity with prompt engineering, tool calling, and chat agent architectures. • Strong problem-solving and analytical mindset, with attention to performance and scalability. • Demonstrated interest in staying up-to-date with the fast-evolving AI landscape. • Experience deploying AI services in production (e.g., using Docker, Azure, or AWS).

🏖️ Benefícios

• Competitive compensation and equity. • Flexible, remote-first work environment. • Opportunities to define and build the AI roadmap of a fast-growing technology company. • Collaborative, learning-oriented culture. • Access to cutting-edge AI models, research, and infrastructure.