• Senior AI Engineer

    Insight Global (Winston Salem, NC)


    Job Description

    A collaborative and innovative team culture, focused on exploration and continuous learning.

     

    Opportunity to work in a transformational office aimed at staying competitive within the healthcare industry.

     

    27-person team with product managers, engineers, data scientists, etc.

     

    Freedom to allocate 20% of time for exploring new technologies and market trends.

    Growth Opportunities:

    Significant opportunities for career advancement into leadership roles, including Architect and Team Lead positions

     

    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

    Must Haves:

    Bachelor’s degree, 6+ years of experience in full stack software engineering, AI/ML, or related fields.

     

    Expertise in Python, both front end and back end.

     

    Strong experience in AI product development, public cloud platforms, and deployment to production.

     

    Kubernetes experience in deployment and microservices within AI

     

    DevOps and DevSecOps experience

     

    Experience with LLMs and ML Ops pipelines.

     

    Integration experience in API, security, and microservices

     

    Experience working with multi-agent frameworks (such as LangGraph, A2A protocol, etc)

    Experience working with Knowledge Graph

    Large Language Models (LLMs) to enhance product performance. Contributions to open-source AI/ML projects.

     

    Healthcare industry experience and knowledge of medical terminology.

     

    Experience with Epic or FHIR based integrations.

     

    Experience in developing voice-based conversational AI solution using LLMs.

     

    Work with knowledge graphs (including GraphRag)

     

    Experience anything in Azure and Data Bricks.

     

    Experience building out Deep Agents for tackling complex, multi-step tasks