• GenAi Data Engineer

    Insight Global (Plano, TX)


    Job Description

    Insight Global is looking for a highly skilled Data Engineer to sit in Addison, Texas to join one of their largest Financial Services clients. This individual should come with deep expertise on building AI / ML frameworks and developing Retrieval-Augmented Generation (RAG) pipelines using Large Language Models (LLM) like ChatGBT, CoPilot, Gemini, Grok etc.

    Job Responsibilities:

    • Develop RAG pipelines using Large Language Models (LLM)

    • Codes solutions and unit test to deliver a requirement / story per the defined acceptance criteria and compliance requirements

    • Performs continuous integration and continuous development (CI-CD) activities

     

    This individual is required to be onsite 3 days a week in Plano, Texas

     

    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 [email protected] 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

    • 6-8 years of hands on Python development

    • 6-8 years of experience with Angular or React

    • 2-3 years of experience developing AI / ML frameworks using tools like MLFlow and KubeFlow including implementation of fine-tuning techniques

    • Experience building and deploying API-based applications using FastAPI, JWT authentication, and API Gateway integration

    • Hands on Devops experience with Git / Bitbucket, Jenkins, SonarQube, Artifactory OR Ansible