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Specialized LLM skills but mid-level experience and city size increase applicant density.
Generative AI skills are transferable across industries but require ML-specific expertise.
Explicit 2–5 years and many mandatory LLM, MLOps, and vector-database skills.
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Design, develop, and deploy applications powered by large language models (LLMs) and generative AI technologies.
Build, integrate, and fine-tune LLMs into web and mobile applications for tasks like chatbots, content generation, summarization, and document understanding.
Develop backend systems and microservices to support AI features and monitor AI model outputs for bias, accuracy, and performance.
2-5 years of relevant work experience in generative AI or related fields.
Strong programming skills in Python, JavaScript/TypeScript, or equivalent.
Experience with LLMs, transformers, diffusion models and familiarity with APIs/tools like OpenAI API, Hugging Face Transformers, LangChain, or LlamaIndex.
Understanding of MLOps, Docker, Git, and CI/CD workflows.
Experienced in fine-tuning and prompt-engineering of large language models specific to business use cases.
Able to collaborate effectively with cross-functional teams for AI integration opportunities.
Capable of developing scalable backend systems and microservices to support AI-powered applications.