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Mid-level popular AI developer title, metro Bengaluru location, and broad required skillset drive high competition.
Specialized LLM and vector DB skills are transferable across industries but still require AI-specific experience, so medium.
Explicit 3-5 years plus many mandatory LLM, RAG, DB, containerization, and scraping skills enforces high strictness.
Design, develop, and deploy AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies.
Develop scalable Python-based APIs and backend services integrating AI with enterprise applications and databases.
Build document ingestion, indexing, retrieval pipelines, and web scraping/data collection solutions; deploy and optimize using Docker and Kubernetes.
3-5 years strong Python development experience.
Experience developing APIs with FastAPI, Flask, or Django.
Hands-on experience with Generative AI, LLMs (OpenAI, Azure OpenAI, or equivalent), and building RAG applications with embeddings and vector search.
Experience with MongoDB, MS SQL Server, web scraping tools (Selenium, BeautifulSoup, or Scrapy), and containerization technologies (Docker, Kubernetes).
Experienced in AI frameworks like LangChain, LlamaIndex, Semantic Kernel, or similar for prompt engineering and generative AI applications.
Skilled in designing scalable AI backend systems integrating multiple data sources and enterprise systems.
Familiar with advanced AI application development including multi-agent AI systems and vector databases (preferred, but not mandatory).