Added
33 minutes ago
Type
Full time
Salary
Salary not provided

Related skills

elasticsearch llms rag generative ai opensearch
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๐Ÿ“‹ Description

  • Design, build, and deploy AI solutions focused on LLMs, generative AI, and modern ML to solve
  • Own end-to-end AI feature lifecycle from problem definition to monitoring and iteration.
  • Develop and optimize LLM-powered apps like RAG systems, AI agents, chatbots, and document
  • Design data pipelines supporting data collection, preprocessing, analytics, and AI/ML workflows.
  • Deploy AI solutions in cloud infra with scalability, security, and reliability.
  • Collaborate with teams to integrate AI into products and services.

๐ŸŽฏ Requirements

  • 5+ years of professional software development with >=2 years in AI/ML engineering.
  • Proven production AI/ML systems experience (batch or real-time).
  • Strong experience with LLMs/generative AI, prompt engineering, fine-tuning, RAG or orchestration
  • Hands-on with vector databases/semantic search (Pinecone, Weaviate, Qdrant, Elasticsearch
  • Experience in RAG architectures, retrieval pipelines, and evaluation methods for LLM systems.
  • Strong Python with FastAPI and async/await.

๐ŸŽ Benefits

  • Competitive salary.
  • Asynchronous, autonomous working environment.
  • Remote-first with hybrid options depending on role.
  • Opportunity to work abroad for short periods.
  • Career development and growth opportunities.
  • Hardware provided for day-one productivity.
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