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Senior niche GenAI role reduces competition, but remote increases applicant pool.
Strong GenAI and LLM expertise required, limiting cross-industry transferability.
Mandatory 8+ years, LLM expertise, production GenAI, FastAPI and cloud experience.
Architect and implement scalable Generative AI and Agentic AI solutions end-to-end, ensuring production readiness and enterprise-grade reliability on Azure or AWS.
Collaborate with product and engineering teams to translate business use cases into AI-driven technical designs and solutions.
Define guidelines for non-functional requirements, review design and architecture for scalability, security, and best practices, and resolve technical issues through root cause analysis.
8+ years of total professional experience.
Deep understanding of large language models (LLMs) and Transformer architectures, with expert-level prompt engineering skills and experience implementing Retrieval-Augmented Generation (RAG) patterns.
Proficiency in Python programming with strong testing and maintainability practices; experience with FastAPI and ORM frameworks (e.g., SQLAlchemy).
Production experience deploying scalable GenAI solutions on cloud platforms such as Azure or AWS.
Experienced in designing and delivering end-to-end GenAI/Agentic AI production systems with proven scalability in live enterprise environments.
Strong ability to architect complex AI solutions balancing functional and non-functional requirements, with a focus on maintainability and extensibility.
Comfortable collaborating across cross-functional teams and converting complex business requirements into clear technical designs and benchmarks.