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Remote, mid-level generative AI role with broad, in-demand skillset increases qualified applicant density.
Role requires specialized GenAI, LLM, and production ML expertise, making cross-industry transfers limited.
Many mandatory technical requirements, production GenAI experience, and explicit years requirement create strict filters.
Architect and implement scalable Generative AI and Agentic AI solutions end-to-end, ensuring enterprise-grade reliability and performance.
Translate client business and technical requirements into technical designs and implement production-ready AI systems on Azure or AWS platforms.
Lead design reviews and define guidelines for non-functional requirements including scalability, extensibility, and security in GenAI solutions.
6+ years of total work experience.
Deep understanding of large language models (LLMs) like GPTs, BERT-family, and their Transformer architectures.
Expert-level skills in prompt engineering and Retrieval-Augmented Generation (RAG) pattern implementation.
Proficiency in Python, FastAPI, ORM frameworks (e.g., SQLAlchemy), and experience deploying production GenAI solutions on Azure or AWS.
Strong hands-on experience in coding and architecting production GenAI/Agentic AI solutions with clean, maintainable Python code and testing practices.
Experienced in scaling live AI systems to support enterprise workloads with a track record of delivery and cross-team collaboration.
Familiarity with model fine-tuning, vector databases, GenAI evaluation metrics, and contributions to open-source GenAI projects.