Senior AI Engineer

Vaga não está no LinkedIn

🕒 Agosto 10

🐊 Florida – Remoto

🐊 Florida – Remote

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 15%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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TMTG

SiteLinkedInTodas as Vagas

51 - 200 funcionários

📱 Mídia

🌍 Impacto Social

Media • Social Impact

A TMTG é a Trump Media & Technology Group, uma nova empresa de mídia e tecnologia dedicada a libertar as redes sociais, o entretenimento por streaming, as notícias e a cultura das narrativas dominantes. A empresa oferece plataformas de mídia abertas para que usuários e creators possam compartilhar, criar e consumir conteúdo sem medo de censura.

Descrição

• Build AI-based features for a social media platform serving millions of active users • Lead the AI engineering effort and work directly with the platform architect and other developers • Stand up core AI infrastructure in a greenfield environment • Shape engineering practices as the team grows • Design and own services end to end, from schema through deployment and on-call • Build LLM serving infrastructure with multi-provider routing, failover, token streaming, and cost/usage metering • Build retrieval systems including vector search, embedding pipelines, context assembly, and citation-backed answers • Instrument systems to detect hallucinations, retrieval misses, provider outages, and cost overruns • Establish pragmatic, repeatable evaluations for relevance, safety, and source quality • Integrate services with Ruby on Rails and React/TypeScript systems

🎯 Requisitos

• 5+ years of backend engineering experience • Experience in a statically typed language such as Go, Java, Kotlin, or C# • Production experience shipping LLM-backed features, including retrieval-augmented generation, streaming responses, and tool use • Hands-on experience with LLM serving stacks, including multi-provider routing, failover, token streaming, and cost/usage metering • Experience building retrieval systems with vector search, embedding pipelines, context assembly, and citation-backed answers • Ability to design instrumentation for hallucinations, retrieval misses, provider outages, and cost overruns • Experience evaluating AI answer relevance, safety, and source quality with simple, repeatable tests • Strong API design skills and ability to own a service end to end • US-based and authorized to work in the United States • Go strongly preferred • Python experience • Experience with LLM gateways or serving infrastructure such as LiteLLM, vLLM, or TGI • Experience with vector databases such as Qdrant or pgvector and embedding pipelines • Experience fine-tuning open-weight models using LoRA or full fine-tunes • Content moderation or safety tooling experience • Familiarity with Ruby on Rails or React/TypeScript

🏖️ Benefícios

• Equal opportunity employer • Censorship-free, accessible platform • Fast-paced, rapidly growing company committed to free speech