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Generative AI skills are in demand but niche stack and smaller employer create medium applicant density.
Specialized GenAI and LLM engineering skills make industry transferability limited.
Explicit 3+ years plus mandatory LLM, LangChain, FastAPI, Docker and cloud skills increase strictness.
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Develop and deploy enterprise-grade AI applications leveraging foundation models like OpenAI, Claude, Gemini, Llama, and Hugging Face.
Build and optimize RAG pipelines using tools such as LlamaIndex, LangChain, and vector databases with focus on embedding, semantic search, and prompt engineering.
Design and maintain AI APIs and microservices using FastAPI; implement monitoring, logging, evaluation frameworks; support production deployment and operations.
3+ years of Python development experience.
Experience with foundation AI models (OpenAI, Claude, Gemini, or Hugging Face).
Hands-on with LangChain or LlamaIndex and Vector Databases for embeddings.
Experience building APIs with FastAPI and Docker/cloud deployment skills.
Deep expertise in generative AI application development with operationalizing RAG architectures and prompt engineering.
Experienced in building scalable AI microservices integrated into enterprise workflows.
Comfortable with cloud environments and monitoring systems ensuring production reliability of AI workloads.