AI Engineer

AI Engineer (Full Stack)

Experience: 4+ Years

Role Overview:

The candidate will design and implement production-grade Generative AI systems using Large Language Models (LLMs), build AI agents, implement RAG pipelines, and develop full-stack applications integrating advanced AI capabilities.

Responsibilities:

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  • Design, build, and deploy LLM-powered applications
  • Develop Retrieval-Augmented Generation (RAG) pipelines
  • Implement AI agents using frameworks such as LangChain and AutoGen
  • Work with vector databases for embeddings and semantic search
  • Integrate MCP (Model Context Protocol) or similar orchestration systems
  • Optimize prompt engineering strategies and LLM workflows
  • Build scalable backend APIs for AI services
  • Deploy and monitor AI systems in production environments
  • Ensure scalability, observability, and performance optimization

Required Skills:

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  • Strong proficiency in Python
  • Hands-on experience with LLMs and Generative AI systems
  • Experience with LangChain and AutoGen
  • Experience building RAG architectures
  • Strong knowledge of vector databases 
  • Experience with embeddings, semantic search, and chunking strategies
  • Understanding of MCP (Model Context Protocol) or LLM orchestration frameworks
  • Backend development experience (FastAPI, Django, or similar)
  • Frontend development experience (React or similar frameworks)
  • Experience with REST APIs and microservices architecture
  • Familiarity with cloud platforms (AWS, GCP, or Azure)
  • Experience with Docker and containerized deployments
  • Experience with multi-agent systems