AI Engineer

🕒 Maio 6

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Infinity Constellation

SiteLinkedInTodas as Vagas

1 - 10 funcionários

Fundada em 2023

🤝 B2B

💳 Fintech

AI • B2B • Fintech

Infinity Constellation é a primeira holding de IA dedicada a ajudar fundadores de elite a construir empresas de IA que operem em velocidade sem precedentes. Ao alavancar plataformas avançadas de IA, a Infinity Constellation busca reinventar os modelos tradicionais de venture capital, com foco em estruturas eficientes que permitem às empresas gerar lucros rapidamente com recursos mínimos. A companhia apoia seu portfólio por meio de diversos serviços operacionais, permitindo que os fundadores escalem e prosperem no ecossistema de IA em rápida evolução.

Descrição

• Design and implement backend systems that power agentic workflows across LLM, deterministic, and hybrid pipelines. • Own and evolve core infrastructure like context memory, orchestration layers, and prompt routing systems. • Design composable multimodal systems that dynamically execute workflows from unstructured inputs (text, audio, video, images). • Optimize latency, extensibility, reliability, and inference cost of multi-agent pipelines. • Collaborate with stakeholders to pressure-test workflows in the real world. • Help us make clear decisions about when to use LLMs vs. traditional systems—and how to do both well. • Develop and improve GraphRAG-based knowledge retrieval systems using Neo4j • Integrate and orchestrate LLM calls for document processing workflows

🎯 Requisitos

• 5+ years of experience in backend software engineering, preferably in Go or similar systems languages. • Shipped agentic LLM systems to production (not prototypes, not demos). • Built real-time systems, distributed async queues, or performance-critical services. • Deep understanding of prompt engineering, token budgeting, and context management. • Strong intuition for when to use AI—and when not to. • Thrive in small teams with high trust and high ownership. • Experience with RAG, embedding stores, and vector DBs. • Experience designing evals for AI agents and workflows • Familiarity with tool orchestration frameworks. • Understanding of the architectural tradeoffs of agentic systems, RAG, MCP, memory, and orchestrations. • Know how to work with (and around) the limitations of cutting-edge LLM technologies. • Background in AI safety, observability, or human-in-the-loop workflows. • Prefer building systems that are simple, scalable, and "good enough," without sacrificing maintainability or future flexibility. • Are fluent in small-team dynamics: high trust, low ego, shared accountability.

🏖️ Benefícios

• Competitive salary • Meaningful equity • Medical, dental, vision healthcare benefits • Flexible PTO policy • 401k • Disability insurance • Remote-first culture