AI solution Engineer

zohorecruit

Bangalore, 4 Years Exp Posted 60d ago

Job Description

  • Design, build, and deploy RAG (Retrieval‑Augmented Generation) pipelines using modern retrieval frameworks and vector databases. 
  • Build LLM‑powered applications using APIs such as Claude / Anthropic or equivalent LLM stacks. 
  • Develop AI workflows using LangChain or similar orchestration frameworks for chaining, tool use, and multi-step reasoning. 
  • Build AI agents and workflow automation systems capable of autonomous, multi‑step task execution. 
  • Implement vector storage, embedding pipelines, indexing strategies, and retrieval architectures. 
  • Work with business stakeholders to translate ambiguous requirements into actionable AI engineering solutions. 
  • Implement governance components—logging, monitoring, cost controls, and safe‑execution patterns. 
  • Collaborate with cross‑functional teams (engineering, product, data, and business teams). 
  • Contribute to architecture discussions, design reviews, and technical decision‑making. 
  • Ship production-ready AI systems with strong testing, observability, and reliability. 

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