Added
6 days ago
Type
Full time
Salary
Salary not provided

Related skills

python fastapi mlops llms rag
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πŸ“‹ Description

  • Design, build, and deploy AI solutions focused on LLMs and modern ML.
  • Own end-to-end AI feature lifecycle: problem, data, modeling, deployment, monitoring.
  • Develop LLM-powered apps: RAG systems, AI agents, chatbots, docs
  • Design data pipelines for AI/ML data collection, processing, analytics
  • Deploy AI solutions in cloud infra with scalability and security
  • Collaborate with teams to embed AI into products and tools

🎯 Requirements

  • 5+ years in software dev; β‰₯2 years AI/ML engineering
  • Proven production AI/ML systems experience
  • Strong experience with LLMs, prompt engineering, RAG
  • Hands-on with vector databases and semantic search (e.g., Pinecone, Weaviate, Qdrant
  • Understanding of RAG architectures and AI/ML data pipelines
  • Strong Python with FastAPI and async programming

🎁 Benefits

  • Competitive salary
  • Asynchronous, autonomy-focused environment
  • Remote-first with hybrid options
  • Opportunity to work abroad for short periods
  • Career development in a rapidly growing org
  • Hardware provided for day-one productivity
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