Ai Systems and Data Technologist - Dallas

Only for registered members Dallas, United States

2 days ago

Default job background
Full time
As our AI Systems & Medical Data-Driven Software Technologist, we're seeking a dynamic builder who thrives where LLMs, data analytics, and software engineering collide. You'll design and optimize intelligent systems, transform complex datasets into real insights, and ship scalabl ...
Job description

As our AI Systems & Medical Data-Driven Software Technologist, we're seeking a dynamic builder who thrives where LLMs, data analytics, and software engineering collide. You'll design and optimize intelligent systems, transform complex datasets into real insights, and ship scalable, production‑ready software that brings cutting‑edge AI to life. If you love turning research into real‑world impact, this role is your playground.

This role is 100% onsite in Farmers Branch, TX. Must be located within commutable distance to our headquarters in Farmers Branch.

What You'll Do

  • Architect and fine‑tune LLM‑powered applications
  • Build data pipelines, analytics workflows, and insight‑driven tools
  • Develop robust APIs and backend services for AI‑enabled products
  • Own projects end‑to‑end - from experimentation to deployment
  • Translate advanced AI capabilities into practical, user‑focused solutions

What You Bring

  • 3 years experience across AI/ML, data analysis, or software development
  • Hands‑on experience with LLMs, Python, cloud platforms, and modern data stacks
  • Strong analytical skills and a track record of building scalable systems
  • Ability to collaborate across research, engineering, and product teams

Education

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field
  • Continual learning to be on the cutting-edge

What You'll Get:

  • Innovation - we dream it; you achieve it
  • Leading edge - always advancing efficiencies and streamlining workflows
  • Agility - flexible and adapting to fit our evolving processes

Interested in learning?

Apply to continue the conversation.




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