Senior AI Engineer – Core

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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

• Ship user-facing agent experiences end-to-end: prototype → production → iteration based on real usage. • Architect and implement stateful agent systems (workflows, tool calling, memory, retrieval, and human-in-the-loop where needed). • Build voice features end-to-end where they unlock value: realtime speech agents, voice UI/UX, prompt/audio routing, and guardrails for safe tool execution. • Build/own an evaluation harness: • - curated test sets + scenario suites • - automated scoring / rubric-based graders • - prompt/model/version tracking • - canary + A/B experimentation and safe rollout patterns • Design data + retrieval pipelines: • - chunking, enrichment, metadata strategy • - hybrid retrieval (vector + keyword + structured filters) • - re-ranking, caching, and latency optimization • - multi-tenant safety and data isolation • Integrate with and extend our platform primitives: • - Django/DRF/ASGI services • - async execution + queues + workflow orchestration • - PostgreSQL + pgvector • - Kubernetes deployments, autoscaling, and cost controls • Establish engineering rigor for agents: • - observability (traces, spans, structured logs) • - reliability patterns (timeouts, retries, circuit breakers, graceful degradation) • - security/privacy controls for data access and tool execution

🎯 Requisitos

• Strong software engineering fundamentals (design, testing, code quality, performance, security). • Production experience deploying AI systems in front of users (not just notebooks/demos). • Experience building agentic or LLM-powered systems with memory and tool use. • Comfort working across application + infrastructure layers: APIs, background jobs, data stores, and deployment. • Hands-on experience with at least one agent framework (or equivalent custom implementation), such as: • - LangChain / LangGraph • - LlamaIndex • - AutoGen / CrewAI-style multi-agent patterns • Strong understanding of retrieval and vector search concepts: embeddings, indexing, filtering, evaluation.

🏖️ Benefícios

• Competitive salary commensurate with experience (Senior level) • reliable high-speed internet