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Remote GenAI senior role with niche LLM-production requirements yields medium applicant competition.
Requires deep LLM, RAG, and production GenAI experience, limiting cross-industry transferability.
Many mandatory senior GenAI, cloud, and production skills enforce strict filters.
Lead architecture and end-to-end implementation of scalable Generative AI and Agentic AI solutions on Azure or AWS cloud platforms.
Write high-quality, production-ready Python code with strong testing, maintainability, and productionization including building APIs with FastAPI and ORMs.
Collaborate with cross-functional teams to translate business use cases into technical designs and define guidelines for non-functional requirements including scalability, security, and extensibility.
8+ years of total work experience.
Deep expertise with large language models (LLMs) architectures and prompt engineering; proven implementation of Retrieval-Augmented Generation (RAG) patterns.
Strong proficiency in Python and AI/ML libraries (e.g., LangChain, Hugging Face Transformers, PyTorch/TensorFlow).
Bachelor’s or master’s degree in Computer Science, IT, or related field.
Experience delivering production-ready GenAI/Agentic AI solutions on Azure or AWS with scalability and enterprise-grade reliability.
Able to lead technical design with clear documentation addressing architecture, design patterns, security, and NFRs.
Contributions to open-source GenAI projects and familiarity with technologies like FastAPI, ORM frameworks, and Model Context Protocol (MCP).