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Remote generative AI role attracts broad interest despite smaller employer, causing moderate competition.
High: specialized LLM, embeddings, vector DB, and production ML engineering skills limit cross-industry transferability.
Moderate: requires specific ML/LLM production, backend, CI/CD and observability skills without numeric year constraints.
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Design, build, and operate end-to-end data pipelines and feature stores with a focus on reliability and security.
Develop and maintain LLM/RAG workflows including evaluation and monitoring for production-grade AI applications.
Ship production APIs and services following best practices in reliability, security, and observability.
Strong backend engineering fundamentals and system design skills.
Hands-on experience with Python or Node.js, APIs, databases, and basic cloud concepts.
Practical experience with ML/LLM tooling such as prompting, embeddings, vector databases, and evaluation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building reliable, secure backend systems for AI or data-intensive applications.
Operates with strong engineering rigor, capable of shipping production-grade AI features.
Skilled in integrating ML/LLM toolkits into scalable backend infrastructure with monitoring and testing focus.