Job Description We’re looking for an experienced AI Engineer to join our agile product team on a 6‑month contract covering a maternity leave, with a strong likelihood of extension. This role is fully focused on building and productionizing RAG‑based chatbots and GenAI applications that support both employee‑facing and consumer‑facing technologies. You’ll work as part of a dedicated agile squad, owning a single high‑priority initiative end‑to‑end — from prompt engineering and LLM development to deployment in production environments. What You’ll Do Design, build, and optimize RAG‑based chatbots and other GenAI solutions RAG‑based chatbots Develop and refine prompt engineering strategies for LLM‑powered applications prompt engineering strategies Collaborate closely with LLM engineers and product partners to shape solution architecture LLM engineers collaboration Implement chunking and text‑processing approaches for documentation and knowledge retrieval chunking and text‑processing approaches Work within an agile delivery model, participating in sprints, standups, and iterative releases agile delivery model Drive solutions from prototype to full production deployment production deployment Ensure scalability, reliability, and performance of AI systems in real‑world environments AI system performance We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 3+ years of hands‑on experience with LLM development LLM development experience Proven experience building and deploying chatbots chatbot experience Strong background in text data processing and NLP workflows text data processing Expertise with AWS Bedrock and related cloud‑native AI tooling AWS Bedrock expertise Experience shipping AI/ML solutions into production environments shipping AI solutions Experience with vector databases, embeddings, and retrieval pipelines vector databases Familiarity with enterprise‑scale knowledge management systems knowledge management systems