AI Applied Engineer — Backend

2 weeks ago


Jakarta, Jakarta, Indonesia PT Revo Solusindo Full time 900,000 - 1,200,000 per year

About the role

We are building advanced AI-driven backend systems that power real-time conversational agents, character-based story engines, and multi-language TTS experiences. We are looking for an AI Engineer to join our team who can work directly with our lead developer to scale and evolve our GenAI platform.

If you have strong backend engineering skills and hands-on experience deploying LLMs using vLLM multi-GPU, this role is for you.

What you'll be doing

  1. Build, maintain, and optimize FastAPI microservices
  2. Integrate and scale vLLM multi-GPU inference for high-throughput LLM serving
  3. Design and maintain FAISS-based RAG pipelines
  4. Implement real-time TTS streaming, including F5TTS socket communication
  5. Develop branching story engines, emotion/motion tagging, and character logic
  6. Build robust loaders for HR documents, knowledge bases, and embeddings
  7. Manage MongoDB collections and vector store metadata
  8. Reduce latency across LLM → RAG → TTS pipelines
  9. Support compliance-friendly AI agent workflows (rule-based + hybrid AI)

Tech Stack You'll Use

  • Python, FastAPI
  • vLLM (multi-GPU, tensor parallelism)
  • FAISS, LangChain
  • MongoDB
  • Socket programming (TCP/WebSockets)
  • Kafka / Redis Streams / similar streaming tech
  • TTS engines: F5TTS (with motion + facial-expression control)
  • Docker, basic CI/CD

Job Requirements

Must Have

  • Bachelor's / master's degree in engineering, Computer Science (or equivalent experience).
  • 2–4+ years of experience as an AI Engineer or Backend Engineer
  • Strong Python fundamentals
  • Experience running LLMs in production using vLLM (preferably multi-GPU)
  • Experience with FAISS or other vector databases
  • Experience building APIs with FastAPI
  • Understanding of embeddings, RAG, and memory buffers
  • Experience with async I/O and concurrent systems
  • Experience debugging real-time pipelines (LLM → RAG → TTS)
  • Create workflow diagrams and charts to demonstrate the functionality of programs before coding them.
  • Work with team members to find creative, innovative solutions to problems.
  • English communication skills, both conversational and written.

Nice to Have

  • Knowledge of GGUF / quantization
  • Experience with real-time TTS
  • Familiarity with story/game engines or narrative logic
  • Basic frontend skills (React)
  • Experience working with streaming architectures
  • Experience with unit testing for RAG/vector stores

Please attached your portfolio/GitHub and examples of work involving:

  • vLLM or custom LLM inference
  • FastAPI backend development
  • Vector search or TTS pipelines (optional)

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