AI & Automation Software Engineer for Intelligent Workflows

Trace3

Dallas (TX)

On-site

USD 120,000 - 160,000

Full time

35 hours ago
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Benefits offered by this job

Comprehensive medical, dental & vision
401(k) with match
Competitive compensation
Training programs
Snack-rich offices
Work-life balance

Job summary

Trace3 in Dallas is seeking a Software Engineer | AI & Automation to design, build, and deploy software solutions that use AI to automate business processes across the organization. This role focuses on production apps, APIs, enterprise integrations, AI agents, copilots, and intelligent workflows within the Azure ecosystem.

The ideal candidate has hands-on experience with LLMs, AI tech, and full engineering lifecycle, translating business requirements into scalable technical solutions, with

Qualifications

  • Bachelor’s degree in Engineering, CS, IT or related field or equivalent experience.
  • 4+ years of professional software engineering or app development.
  • Experience building APIs, backend services, and integrations.
  • Hands-on AI/LLM development and production deployment experience.
  • Ability to translate evolving business requirements into technical solutions.

Responsibilities

  • Design, develop, test, and maintain production software applications and services.
  • Build APIs, backend services, integrations, and reusable components.
  • Design AI-powered apps, agents, copilots, and intelligent workflows.
  • Integrate LLMs and AI capabilities with enterprise platforms and tools.
  • Ensure security, monitoring, and scalable CI/CD of deployments.

Skills

Strong programming
Python
APIs & backend services
AI/LLM concepts
Communication

Education

Bachelor’s degree in relevant field

Tools

Azure
Databases (SQL/NoSQL)
CI/CD tooling
OpenAI API / LLM tooling

Job description

Trace3 in Dallas is seeking a Software Engineer | AI & Automation to design, build, and deploy software solutions that use AI to automate business processes across the organization. This role focuses on production apps, APIs, enterprise integrations, AI agents, copilots, and intelligent workflows within the Azure ecosystem.

The ideal candidate has hands-on experience with LLMs, AI tech, and full engineering lifecycle, translating business requirements into scalable technical solutions, with

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