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AI Software Engineer Expert at Austco Healthcare (Irving / Dallas, TX)

 

How to Apply: AI Software Engineer Expert at Austco Healthcare (Irving / Dallas, TX) — Comprehensive Career, Salary, & Application Guide

Austco Healthcare (ASX: AHC), a pioneer in clinical communications, nurse call systems, and medical technology solutions, is hiring an AI Software Engineer Expert to join its research and development (R&D) business unit in Irving, Texas (Dallas-Fort Worth Metroplex).

This full-time, in-office executive engineering position focuses on driving AI adoption across Austco's R&D division. You will integrate developer tools like GitHub Copilot, Claude Code, and Cursor, establish automated verification and validation (V&V) testing pipelines, build enterprise Large Language Model (LLM) APIs, and ensure software compliance with medical device regulatory frameworks such as IEC 62304 and UL 1069.

This guide covers compensation expectations, technical responsibilities, candidate requirements, healthcare benefits, and a step-by-step strategy for submitting your application directly to Austco.

High Salary Potential, Financial Benefits, & Healthcare Perks

Austco Healthcare offers a competitive compensation and benefits package tailored for senior software engineering leaders in the healthcare technology domain:

AI Software Engineer Expert at Austco Healthcare
AI Software Engineer Expert at Austco Healthcare
+-----------------------------------------------------------------------+
|                    AUSTCO HEALTHCARE COMPENSATION & PERKS             |
+-----------------------------------------------------------------------+
|  Base Salary Range (Estimated)          | $130,000 – $185,000 / year    |
|  Workplace Structure                    | 100% In-Office (Mon–Fri)      |
|  Primary Location                       | Irving, TX (Dallas-Fort Worth)|
|  401(k) Retirement Plan                 | 3% Direct Company Match       |
|  Healthcare Coverage                    | Comprehensive Medical Plan    |
|  Professional Development               | Fully Funded AI Tooling & R&D |
+-----------------------------------------------------------------------+

Financial Rewards & Retirement Security

  • Competitive Base Pay: Senior AI Software Engineers in the Dallas-Fort Worth technology corridor earn competitive salaries ranging between $130,000 and $185,000+ per year, based on Python mastery, LLM API integration experience, and medical device software engineering expertise.

  • 401(k) Matching: A 3% company match on your 401(k) retirement contributions, helping secure your long-term wealth accumulation.

  • Healthcare Package: Complete medical coverage options designed to protect you and your dependents.

Technical Responsibilities & Strategic Work Scope

Unlike theoretical AI research roles, this position demands practical action, leadership, and hands-on software development. You will work directly alongside the Head of R&D and Chief Technology Officer (CTO) to modernize Austco’s global software development lifecycle (SDLC):

1. Developer Tooling Modernization & AI Integration

  • Deploy Advanced AI Assistants: Evaluate, integrate, and champion AI-assisted coding platforms across the entire R&D team—including GitHub Copilot, Claude Code, Cursor, and custom LLM assistants.

  • LLM API Engineering: Design, build, and deploy custom internal software tools using LLM APIs (OpenAI GPT-4, Anthropic Claude, Google Gemini) to automate code reviews, generate technical documentation, and streamline microservice architectures.

  • Automated V&V & QA Pipelines: Architect AI-assisted Verification and Validation (V&V) systems to automate test case generation, requirements traceability, and software defect analysis.

2. R&D Technical Leadership & Upskilling

  • AI Subject Matter Authority: Act as the primary AI technical expert across all software, firmware, and hardware engineering teams.

  • Internal Coaching Programs: Design and conduct structured technical training sessions to upskill junior and senior developers on AI-driven software development practices.

  • Strategic Roadmap Creation: Partner with R&D executives to establish an auditable, responsible AI adoption roadmap that aligns with business objectives.

3. Regulated Medical Device Software Compliance

  • IEC 62304 Standards: Ensure all AI-assisted software generation tools align with IEC 62304 (Medical Device Software – Software Life Cycle Processes).

  • Regulatory Submissions: Collaborate with quality and regulatory teams to document AI tool usage, automated test logs, and code verification artifacts for international regulatory submissions (FDA, CE Mark).

  • Cybersecurity Protocols: Incorporate IEC 62443 cybersecurity standards and UL 1069 safety requirements for hospital nurse call communication systems.

Candidate Qualifications & Technical Proficiencies

Austco Healthcare maintains clear qualification criteria for this senior engineering leadership role:

+-----------------------------------------------------------------------------------+
|                  AUSTCO AI ENGINEER QUALIFICATION MATRIX                          |
+-----------------------------------------------------------------------------------+
|  [Mandatory Required Skills]                                                      |
|  - Expert Python proficiency combined with C++, C#, or JavaScript / TypeScript.   |
|  - Hands-on experience integrating LLM APIs (OpenAI, Anthropic) in PRODUCTION.    |
|  - Demonstrated track record using AI developer tools (Cursor, Copilot, Claude).  |
|  - Proven ability to train, coach, and upskill technical engineering teams.        |
|  - Strong technical writing skills for both engineering & regulatory audits.      |
|  - Must reside in or be willing to commute daily to Irving, TX (In-Office).      |
|  - Must have US Work Authorization (No current or future visa sponsorship).       |
+-----------------------------------------------------------------------------------+
|  [Highly Desirable / Bonus Qualifications]                                        |
|  - Background in regulated software lifecycle environments (IEC 62304 / UL 1069).|
|  - Work experience in healthcare technology, clinical systems, or medical devices. |
|  - Deep expertise in automated CI/CD testing frameworks, DevOps, and Docker.      |
|  - Degree in Computer Science, Software Engineering, or a related STEM discipline. |
+-----------------------------------------------------------------------------------+

Step-by-Step Guide: How to Apply to Austco Healthcare

Follow this step-by-step strategy to optimize your resume, prepare your technical portfolio, and submit your application to Austco Healthcare:

AI Software Engineer Expert at Austco Healthcare
AI Software Engineer Expert at Austco Healthcare
[Step 1: Resume Optimization for Regulated AI Engineering]
                           │
                           ▼
[Step 2: Direct Online Application via ZipRecruiter / Austco Portal]
                           │
                           ▼
[Step 3: Initial Recruiter Screening & Location Verification]
                           │
                           ▼
[Step 4: Technical Deep-Dive & Code Assessment with R&D Leadership]
                           │
                           ▼
[Step 5: Executive On-Site Interview & Offer Stage]

Step 1: Optimize Your Resume for ATS & Executive Review

Ensure your resume reflects key technical terms, regulatory standards, and leadership capabilities:

  • Core Keywords: AI Software Engineer, Expert Python Developer, LLM API Integration, OpenAI API, Anthropic Claude, Cursor, GitHub Copilot, IEC 62304, Medical Device Software, Verification and Validation (V&V), Automated Testing, CI/CD, C++, C#, Irving TX, Dallas-Fort Worth, Austco Healthcare.

  • Demonstrate Production Scale: Highlight production achievements (e.g., Architected Python LLM tooling that automated 40% of unit test generation for C++ embedded software while maintaining full IEC 62304 compliance).

Step 2: Submit Your Application Package

Submit your profile directly through ZipRecruiter or the official Austco website:

  • Official Corporate Website: https://www.austco.com

  • Job Location: Irving, TX / Dallas-Fort Worth Metroplex (100% In-Office, Monday–Friday)

Sample Cover Letter / Application Message Template

Subject: Application: AI Software Engineer Expert (In-Office - Irving, TX) - [Your Name]

Dear Austco R&D Recruitment Team,

I am writing to apply for the AI Software Engineer Expert role based at your Dallas-Fort Worth business unit in Irving, Texas.

Summary of Technical & Leadership Qualifications:

  • Software Engineering Expertise: Expert in Python with extensive production experience in [C++ / C# / JavaScript].

  • Production LLM Integration: Proven track record of deploying LLM APIs (OpenAI, Anthropic) and developer tools (Cursor, Copilot, Claude Code) into real-world software workflows.

  • Regulatory Alignment: Familiar with regulated software engineering standards, including IEC 62304, automated testing framework design, and V&V documentation.

  • Team Leadership & Mentorship: Experienced in creating internal training modules to upskill engineering teams in AI workflows.

  • Location & Work Authorization: Currently reside in the Dallas-Fort Worth area, ready for full-time in-office work in Irving, TX, with full U.S. work authorization.

I have attached my updated resume and project summary for your review. I look forward to discussing how my software background can accelerate Austco's clinical communication platform innovations.

Sincerely,

[Your Name]

Phone: [Your Phone Number]

Email: [Your Email Address]

Portfolio/GitHub: [Your Portfolio URL]

Step 3: Technical Interview Strategy

  • Recruiter Screening: Expect immediate confirmation of your residence in the Dallas-Fort Worth region, in-office availability, and U.S. work authorization status.

  • Technical Architecture Review: Be prepared to explain how you integrate LLM APIs into existing codebases, manage prompt engineering pipelines, and design automated V&V test harnesses.

  • Regulatory Discussion: Review the basics of IEC 62304 software lifecycle requirements and how AI-assisted code generation can be safely documented for medical device audits.

Architectural Workflow: AI-Assisted Medical Device SDLC

Below is a conceptual workflow diagram illustrating how an AI Software Engineer Expert integrates artificial intelligence into a regulated medical software environment:

+---------------------------------------------------------------------------------+
|               AI-ENABLED REGULATED SOFTWARE DEVELOPMENT LIFECYCLE               |
+---------------------------------------------------------------------------------+
|  [Developer Environment]                                                        |
|  Engineer Coding (Python / C++) ──► Guided by AI (Cursor / Claude Code / Copilot)|
+---------------------------------------------------------------------------------+
|  [Automated V&V Testing Pipeline]                                               |
|  Code Commit ──► LLM Test Generator ──► Automated Unit & Integration Tests      |
+---------------------------------------------------------------------------------+
|  [Quality & Compliance Gateway]                                                 |
|  Static Analysis ──► IEC 62304 Audit Logger ──► Requirements Traceability       |
+---------------------------------------------------------------------------------+
|  [Production Deployment]                                                        |
|  Verified Code ──► CI/CD Pipeline ──► Clinical Nurse Call Software Release      |
+---------------------------------------------------------------------------------+

Summary Overview Table

Job AttributeDetailed Profile Specification
Job TitleAI Software Engineer Expert
Hiring OrganizationAustco Healthcare (ASX: AHC)
Workplace Model100% In-Office (Monday through Friday)
LocationIrving, Texas (Dallas-Fort Worth Area)
Estimated Base Pay$130,000 – $185,000+ per year
Retirement Plan401(k) with 3% Direct Company Match
Required LanguagesExpert Python; plus C++, C#, or JavaScript
Required AI StackOpenAI API, Anthropic API, Cursor, GitHub Copilot, Claude Code
Target RegulationsIEC 62304, IEC 62443, UL 1069 (Medical & Clinical Devices)
Visa SponsorshipNot Available (US Work Authorization Required)
Official Websitehttps://www.austco.com

⚠️ Important Candidate Compliance & Location Requirements

  1. Strict In-Office Policy: This is a dedicated on-site role in Irving, TX. Applicants residing outside the Dallas-Fort Worth area or seeking remote/hybrid arrangements will not be considered.

  2. Work Authorization: Candidates must possess permanent authorization to work in the United States. Austco does not offer visa sponsorship or STEM OPT transfers for this role.

  3. Application Security: Always apply directly through verified corporate channels or official recruitment partners. Austco Healthcare never requests application fees or equipment purchases during recruitment.

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