Added
33 minutes ago
Type
Full time
Salary
Salary not provided

Related skills

python ai elasticsearch llms rag
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πŸ“‹ Description

  • Design, build, and deploy AI solutions focused on LLMs, generative AI, and ML to solve business
  • Own end-to-end lifecycle of AI features: problem definition, data, modeling, deployment
  • Develop and optimize LLM-powered apps like RAG systems, AI agents, chatbots, docs solutions.
  • Design data pipelines for data collection, preprocessing, analytics, AI/ML workflows.
  • Deploy AI solutions in cloud infra with scalability, security, reliability, performance.
  • Collaborate with teams to embed AI into products, services, tools.

🎯 Requirements

  • 5+ years software development; 2+ years AI/ML focus; proven AI delivery.
  • Experience building production AI/ML systems (batch/real-time).
  • Strong experience with LLMs, generative AI; prompt engineering, fine-tuning, RAG, orchestration.
  • Hands-on with vector DBs and semantic search (Pinecone, Weaviate, Qdrant, Elasticsearch
  • Understanding of RAG architectures, retrieval pipelines, eval approaches.
  • Experience designing/managing data pipelines for AI apps.

🎁 Benefits

  • Competitive salary.
  • Asynchronous, autonomy-focused environment.
  • Remote-first with hybrid options depending on role.
  • Opportunity to work abroad for short periods.
  • Career development in a fast-growing org.
  • Hardware provided to new joiners.
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