Job Description Insight Global is looking for a Software Engineer with AI experience to join the data engineering organization at a global pharmacy retail client. This candidate will be joining a team that is building an AI analytical assistant for their retail partners. They will be responsible for conducting product demos and making enhancements/additions to the product each week. The ideal candidate will have experience building a product and understanding Pythonbased AI workflows, orchestration, and service development. This is a fully remote contract for 6 months. Compensation: $50-60/hr. Exact compensation may vary based on several factors, including skills, experience, and education. 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 learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce : Skills and Requirements \- 5+ years of software engineering experience \- Strong python experience specifically in building a product \- Knowledge of LLMs, APIS and Orchestration frameworks Desire to learn and grow in a fast paced environment

The role requires a minimum of five years of software engineering experience. Strong Python experience is essential, particularly in building products. Knowledge of Large Language Models (LLMs), APIs, and orchestration frameworks is also necessary. A desire to learn and grow in a fast-paced environment is beneficial.