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Job Description

Insight Global is seeking a Supply Chain Engineer for one of their top clients in the North Houston area. This person will be responsible for drive the evaluation and adoption of new technologies and engineering approaches for the company. You will work directly with technology leadership to prototype new approaches, advise technical and business teams adopting new tools, and work with tech leads to

evolve our stack to enable smooth AI integration. You'll take a pragmatic approach, prioritizing valuable use cases with measurable outcomes, and pushing for simple approaches where extra complexity isn't needed. This person will ideally be coming from a Data Engineer, AI/ML Engineer, or Platform Engineer background. This will be an independent role reporting directly to the Director of Bi Analytics & Data Warehousing.

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

-3+ years programming in a team context

-Strong programming skills in one or more of the following languages: Java, Scala, Python, Rust, Typescript, Go.

-Previous experience working on either personal or professional AI projects using most recent AI tools.

-Experience managing cloud infrastructure (AWS, Azure, or GCP).

-Strong experience working in Kafka for streaming/messaging.

-Strong understanding of data/backend fundamentals around compute, storage, and

streaming.

-Experienced in IaC (infrastructure as code) for CI/CD pipeline deployment.

-API authorization management & development experience using tools like OAuth.

-Must be comfortable building out UIs/frontends for POCs using React preferably (open to any frontend framework). Experience with MCP (model context protocol)

Experience implementing ML or optimization projects

Hands-on experience implementing LLM-based tools in a business context