Senior Python Lead — AI/LLM Systems & Production

Artifintech

Dallas (TX)

On-site

USD 140,000 - 210,000

Full time

3 hours ago
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Job summary

Artifintech seeks a senior software engineer to build AI/ML systems in production, applying deep Python expertise to design scalable backend services and RESTful APIs powering complex products. The role requires cloud proficiency (AWS/GCP/Azure), Docker, and CI/CD, along with strong collaboration across engineering, data, and product teams.

With 10+ years of overall experience, you will lead end-to-end development from data handling to monitoring and contribute to responsible AI practices,

Qualifications

  • 10+ years of overall experience, with 5+ years in professional software development.
  • Strong, current Python expertise.
  • Experience delivering AI/ML or LLM-powered systems to production.
  • Familiarity with the AI Development Life Cycle (AIDLC): data handling, experimentation, evaluation, deployment, monitoring.
  • Hands-on experience with LLM application development — prompt engineering, RAG, API integration.
  • Proficiency designing and consuming RESTful APIs and building scalable backend services.
  • Working knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker).
  • Solid grounding with version control (Git) and CI/CD workflows.
  • Strong communication across engineering, data, and product teams.

Skills

Python
AI/ML in production
RESTful APIs
Backend design
CI/CD practices
Cross-functional collaboration

Tools

Docker
Git
Cloud platforms (AWS/GCP/Azure)
CI/CD pipelines

Job description

Artifintech seeks a senior software engineer to build AI/ML systems in production, applying deep Python expertise to design scalable backend services and RESTful APIs powering complex products. The role requires cloud proficiency (AWS/GCP/Azure), Docker, and CI/CD, along with strong collaboration across engineering, data, and product teams.

With 10+ years of overall experience, you will lead end-to-end development from data handling to monitoring and contribute to responsible AI practices,

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