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Remote and mid-level LLM role increases applicant density despite specialized skills.
GenAI and LLM skills are transferable across industries but require specific tooling and model deployment experience.
Mandatory 5+ years plus specific LLM, RAG, Python, and deployment skills make shortlisting strict.
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Build and deploy LLM, RAG, and agentic AI systems from scratch with production-ready quality.
Design and implement document intelligence pipelines using tools like LangChain, LangGraph, and LlamaCloud.
Deploy and scale AI services on cloud platforms such as AWS, GCP, or Azure.
5+ years of experience in GenAI / LLM-based system development.
Proficient in Python backend development with frameworks like FastAPI or Django.
Hands-on experience with RAG, embeddings, and vector databases.
Work Experience Required: 5+ years, Location: Remote
Experience working independently with strong ownership and minimal oversight.
Solid expertise in backend AI system design and deployment on cloud infrastructure.
Familiarity with ML, MLOps, and model evaluation practices in production environments.