End-to-End AI Systems Engineer for Enterprise

kadence

Austin (TX)

Presencial

USD 150.000 - 230.000

Jornada completa

Hace 9 días

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Descripción de la vacante

Kadence Talent is partnering with a dynamic startup building the foundational intelligence layer enabling frontier AI systems to understand, reason, and act within complex enterprise environments.

The role requires leading end-to-end delivery, architecting advanced decision-making systems, and contributing to platform evolution. You will engage with customers, shape the product roadmap, document rigorously, and uphold engineering standards in a fast-paced setting.

Formación

  • Extensive history delivering production-grade software within client or partner settings.
  • Ability to drive complex initiatives from initial parameters to live execution.
  • Strong background with SQL and Python in cloud data environments.
  • Experience inspecting unfamiliar codebases, debugging stacks, and solving problems.

Responsabilidades

  • End-to-End Delivery: lead projects from discovery to production release.
  • Application Engineering: build decision-making systems using ontologies, rules, graphs, and predictive models.
  • Upstream Contributions: extend platform utilities and contribute back to core repositories.
  • Roadmap Direction: translate deployment signals into actionable product feedback.
  • Technical Discovery: run customer sessions, demonstrations, and feasibility proofs.
  • Documentation Standards: keep docs synchronized with development and create scalable guides.
  • Engineering Discipline: avoid unvetted work and ensure root-cause analysis.

Conocimientos

SQL
Python
Cloud data architectures
Declarative/logic programming
Systems analysis
Stakeholder engagement

Descripción del empleo

Kadence Talent is partnering with a dynamic startup building the foundational intelligence layer enabling frontier AI systems to understand, reason, and act within complex enterprise environments.

The role requires leading end-to-end delivery, architecting advanced decision-making systems, and contributing to platform evolution. You will engage with customers, shape the product roadmap, document rigorously, and uphold engineering standards in a fast-paced setting.

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