Software Engineer, AI Engineering Workflows

Jobtailor

Austin (TX)

On-site

USD 130,000 - 190,000

Full time

14 days+

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Job summary

Jobtailor in Austin, TX seeks an independent software engineer to own a system from design to production, focusing on AI-assisted development tools and robust automation. The role emphasizes building quality, scalable software and collaborating across teams to ensure safe releases.

You will work with Python and C++, design internal APIs, and contribute to modern CI/CD pipelines while mentoring others in tooling and best practices.

Qualifications

  • Own a distinct system, feature or service from design to production.
  • Hands-on experience using AI-assisted development tools and writing software automation or integrations.
  • Experience in software quality practices, automated testing, code review, and modern CI/CD pipelines.
  • Write clean, readable, and documented code that follows established engineering patterns.
  • Proficiency in Python and C++ and web service development.
  • Solid understanding of software architecture, APIs, repository structure, and CI/CD automation.

Responsibilities

  • Design, build, and maintain AI-assisted developer productivity tools, code quality automation, and modern CI/CD infrastructure.
  • Translate software requirements into clear software designs, internal APIs, and repository templates.
  • Lead technical design discussions and establish safe, practical standards for AI-generated code across the department.
  • Address code quality gaps by building automated testing frameworks and code-review gating systems.
  • Write runbooks, documentation, and training guides for adopting AI tools responsibly.
  • Collaborate with other teams to debug issues across system boundaries and ensure safe releases.

Skills

Python
C++
Web services
CI/CD

Tools

Git

Job description

Responsibilities
  • Design, build, and maintain AI-assisted developer productivity tools, code quality automation, and modern CI/CD infrastructure.
  • Translate software development requirements into clear software designs, internal developer APIs, and repository templates.
  • Lead technical design discussions and establish safe, practical standards for using AI-generated code and agentic tools across the department.
  • Proactively address code quality, testing, and reliability gaps by building robust automated testing frameworks and code-review gating systems.
  • Write clear runbooks, documentation, and training guides to help engineering teams adopt AI-assisted development tools responsibly.
  • Collaborate with other software teams to systematically debug complex issues across system boundaries and ensure safe release processes.
Requirements
  • An independent software engineer who can own a distinct system, feature, or service from design to production.
  • Hands‑on experience using AI‑assisted development tools and writing software automation or integrations.
  • Experience in software quality practices, automated testing, code review, and modern CI/CD pipelines.
  • Write clean, readable, and documented code that follows established engineering patterns.
  • Proficiency in modern programming languages (such as Python, C++) and web service development.
  • Solid understanding of software architecture, APIs, repository structure, and CI/CD automation.
  • Communicate complex technical concepts in simple, clear language to both technical and non‑technical partners.
  • Effective in ambiguous or changing priority environments and translate loose needs into structured software plans.
  • High curiosity and an active growth mindset to learn new technical domains.
  • Provide constructive, detailed feedback in code reviews and mentor other engineers on tooling and best practices.
  • Preferred: experience building developer experience platforms, internal tools, repository templates, or custom engineering infrastructure.
  • Preferred: experience with agentic coding frameworks, prompt engineering, or LLM‑based development APIs.
  • Preferred: experience in high‑complexity engineering environments where software closely interacts with hardware or scientific instruments.
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