• AI Engineer

    Insight Global (New York, NY)


    Job Description

    We are a leading media company dedicated to delivering high-quality content across multiple platforms. Our team thrives on innovation, collaboration, and cutting-edge technology to ensure seamless experiences for our audience. We're looking for a passionate and skilled AI Engineer to join our dynamic team and help us scale our infrastructure to new heights.

     

    Role Overview: As an AI Engineer supporting a news conglomerate, you'll play a pivotal role in reshaping operational processes and efficiencies. You'll work closely with Marketing and Research groups to pioneer how News is delivered to the public through digital and technical solutions.

     

    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

    • 5 years’ experience with Engineering AI tooling, modeling and product enhancements for internal business operations groups.

    • 3-5 YOE with Programming & Frameworks – Python, APIs, ML frameworks, AI orchestration tools (LangChain, ADK etc)

    • AI/ML systems – LLMs, embeddings, vector databases

    • Building and managing APIs and integrations

    • Experience with Prompt Engineering

    • Model Evaluation & Design

    • AI Architecture Design

    • Data preparation & generation

    • Cloud services (AWS, GCP)