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Job Description
Structured overview of role & requirementsAbout This Role
Build and deploy AI-powered features (copilots, summarization, classification, routing, Q&A) to improve internal workflows and productivity.
Develop knowledge-based agents using Retrieval-Augmented Generation and design conversational flows for internal enterprise functions.
Manage AI product feature backlog including writing user stories, coordinating UAT, monitoring quality, and maintaining documentation.
Minimum Requirements
3+ years in software engineering or applied solutions development (or equivalent experience).
Proficient in Python and API integration; working knowledge of SQL.
Familiarity with large language models, prompt engineering, Retrieval-Augmented Generation, and agent frameworks (e.g., LangChain).
Bachelor's degree in Computer Science, Engineering or related field (or equivalent practical experience).
Ideal Candidate Profile
Prefers delivering working software rapidly and iterating based on direct user feedback.
Focuses on user workflows and improving day-to-day employee productivity.
Chooses pragmatic, simple technical solutions prioritizing quality, reliability, and adherence to production standards.