Senior AI Engineer

Job not on LinkedIn

🕒 August 10

🐊 Florida – Remote

🐊 Florida – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TMTG

WebsiteLinkedInAll Job Openings

51 - 200 employees

📱 Media

🌍 Social Impact

Media • Social Impact

TMTG is Trump Media & Technology Group, a new media and technology company dedicated to liberating social media, streaming entertainment, news, and culture from mainstream narratives. It provides open media platforms for users and creators to share, create, and consume content without fear of censorship.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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