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Remote role, reputable startup brand, and attractive data science title, but niche LLM/agentic specialization limits applicant pool.
Core ML and LLM skills are transferable, but agentic CX delivery focus raises industry specificity.
Requires specialized ML/LLM expertise and hands-on Python/SQL but lacks explicit years requirement.
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Design and deliver AI and agentic solutions for both internal and client use cases, focusing on customer experience applications.
Collaborate with product, engineering, and delivery teams to translate requirements into scalable, production-ready AI models and systems.
Evaluate model and solution performance using data-driven methods and support experimentation and proof-of-concept activities.
Proven experience in data science, machine learning, analytics, or applied AI with practical model development skills.
Proficiency in Python, SQL, and data analysis workflows.
Familiarity with generative AI, large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), or agentic AI frameworks.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in delivering client-facing or product-oriented AI initiatives that solve ambiguous business problems with practical implementations.
Comfortable working cross-functionally and communicating technical approaches to diverse stakeholders.
Up-to-date with emerging AI trends in agentic AI, LLMs, and automation relevant to customer experience solutions.