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Remote, in-demand AI/LLM skills attract applicants, but senior 10+ years requirement reduces competition.
Specialized LLM, model deployment, and multi-tenant SaaS experience make background fit highly domain-specific.
Explicit 10+ years requirement plus mandated LLM, cloud, and deployment skills produces high shortlisting strictness.
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Design, architect, and develop scalable, robust AI-driven backend systems for a cloud-based SaaS platform.
Implement and integrate AI capabilities such as LLM, RAG, and LangChain into the product to enhance automation and user experience.
Collaborate cross-functionally in a distributed remote team to deliver new AI features and maintain 24/7/365 platform reliability.
10+ years experience building large-scale, cloud-based distributed and multi-tenant SaaS applications.
Strong programming expertise in Python and Java with knowledge of NLP libraries (spaCy, NLTK, Hugging Face).
Experience with AI tech including LLM models, RAG, LangChain, LlamaIndex and model deployment frameworks (TensorFlow Serving, MLflow).
Proficiency in Linux, microservices architecture, container orchestration (Kubernetes, Docker), and cloud infrastructure as code (Terraform, CloudFormation).
Senior engineer with deep expertise in large-scale AI SaaS platform development and operational reliability.
Experienced in modern AI/ML system design, deployment, and scalable backend engineering in cloud environments.
Effective in remote, distributed team settings with a focus on mentoring, collaboration, and data-driven decision making.