Senior Backend Engineer, AI Platform
Senior backend engineer building greenfield AI/LLM infrastructure for a fast-growing social media platform serving millions of users — RAG, streaming responses, retrieval systems, and the LLM serving stack. Day to day you own services end to end (schema to deploy to on-call), with Go as the strongly preferred language alongside PostgreSQL, Redis, and RabbitMQ.
- Compensation
- Not disclosed
- Location
- Sarasota, United States
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Full time
- Experience
- 5+ years
- Category
- Backend
- Posted
Skills
Must have
- 5+ years of backend engineering experience in a statically typed language (Go, Java, Kotlin, C#)
- Shipped production LLM-backed features (RAG, streaming responses, tool use) and maintained them post-launch
- Hands-on experience with the LLM serving stack: routing across multiple model providers, failover, token streaming, cost/usage metering
- Experience building retrieval systems: vector search, embedding pipelines, context assembly, citation-backed answers
- Thinks in failure modes (hallucination, retrieval misses, provider outages, cost blowouts) and builds instrumentation to catch them
- Pragmatic AI evaluation: measuring answer quality (relevance, safety, source quality) with simple, repeatable tests
- 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 gateways or serving infrastructure (LiteLLM, vLLM, TGI, or similar)
- Vector databases (Qdrant, pgvector) and embedding pipelines
- Fine-tuning open-weight models (LoRA or full fine-tunes) with eval discipline
- Content moderation or safety tooling experience
- Familiarity with Ruby on Rails or React/TypeScript (you'll integrate with both)
Full description
Senior Backend Engineer, AI Platform
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 gateways or serving infrastructure (LiteLLM, vLLM, TGI, or similar)
- Vector databases (Qdrant, pgvector) and embedding pipelines
- Fine-tuning open-weight models (LoRA or full fine-tunes) and the eval discipline that goes with it
- Content moderation or safety tooling experience• Familiarity with Ruby on Rails or React/TypeScript (you'll integrate with both)
Our Stack
Go, Ruby on Rails, Python, React/TypeScript, PostgreSQL, Redis, RabbitMQ. Services deployed across multiple data centers.
Why TMTG?
We are a social media company dedicated to delivering users an engaging and censorship-free experience. We believe users should be able to freely express themselves and engage with a rich diversity of viewpoints on a cancel-proof, accessible platform. If you are interested in joining a company that is fast-paced, rapidly growing, and committed to free speech, please get in touch.