Added
6 days ago
Type
Full time
Salary
Salary not provided

Related skills

aws python fastapi mlops llms

πŸ“‹ Description

  • Design, build, and deploy AI solutions focused on LLMs and ML to solve business challenges.
  • Own end-to-end AI feature lifecycle: problem definition, data understanding, modeling, deployment
  • Develop LLM-powered apps like RAG, AI agents, chatbots, and document understanding.
  • Design data pipelines supporting AI/ML workflows and analytics.
  • Deploy AI solutions in cloud infra with scalability and security.
  • Collaborate with product/engineering to embed AI into offerings.

🎯 Requirements

  • 5+ years in software dev; β‰₯2 years in AI/ML engineering; proven AI solutions.
  • Production-grade AI/ML systems experience (batch/real-time).
  • Strong with LLMs/generative AI: prompt engineering, fine-tuning, RAG, or orchestration.
  • Hands-on with vector DBs and semantic search (Pinecone, Weaviate, Qdrant, ES/OpenSearch).
  • Understanding of RAG architectures and retrieval pipelines.
  • Data pipelines design for AI/ML apps.

🎁 Benefits

  • Competitive salary.
  • Asynchronous, autonomous, flexible work.
  • Remote-first with hybrid options.
  • Opportunities to work abroad for short periods.
  • Career growth in a fast-growing org.
  • Hardware provided for day-one productivity.
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