TMTG
Senior AI Engineer
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Job Description
### Senior AI Engineer
*Remote — US only · Full-time*
Are you passionate about building AI products people actually use, serving millions of users? Do you want to help lead the AI engineering effort at this country's fastest-growing social media company that champions free speech? You'll be building AI-based features into a platform serving millions of users.
About the Role
You'll work directly with the platform architect and other developers to bring deep, hands-on LLM-stack expertise: you've built these systems before, you know where they break, and you know what "good" looks like in production.
The work is greenfield. You won't be maintaining someone else's pipeline — you'll be standing up the core AI infrastructure for a platform with millions of active users, and shaping the engineering practices around it as the team grows.
What We're Looking For
- 5+ years of backend engineering experience in a statically typed language (Go, Java, Kotlin, C#)
- You've shipped production LLM-backed features — retrieval-augmented generation, streaming responses, tool use — and lived with them after launch
- Hands-on experience with the LLM serving stack: routing across multiple model providers, failover, token streaming, and cost/usage metering
- Experience building retrieval systems: vector search, embedding pipelines, context assembly, and citation-backed answers
- You think in failure modes: hallucination, retrieval misses, provider outages, cost blowouts — and you build the instrumentation to catch them
- Pragmatic about evaluation — you know how to measure whether AI answers are actually good (relevance, safety, source quality) with simple, repeatable tests, not just academic benchmarks
- Strong API design instincts; comfortable owning a service end to end, from schema to deploy to on-call
- US-based and authorized to work in the United States
Nice to Have
- Go (strongly preferred)
- Python
- Experience with LLM ga
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