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AI Software Engineer

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Austco
Full Time position
Listed on 2026-06-03
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Overview

Austco is a global manufacturer of Nurse Call Systems and Clinical Communications Solutions for hospitals and aged-care facilities.

About Austco Healthcare Austco Healthcare (ASX: AHC) is a globally distributed provider of clinical communication and workflow solutions, serving hospitals, nursing homes, and aged-care facilities across more than 50 countries. Our R&D team develops both hardware and software products that improve patient outcomes and the efficiency of clinical teams. As we enter a new phase of growth, we are investing in AI-enabled engineering to accelerate our development capability and product innovation.

The

Opportunity

This is a pivotal role for Austco Healthcare. As our first dedicated AI Software Engineer, you will lead the adoption and integration of AI-powered tools across our R&D function. You will work hands-on with our engineering, software development, and verification and validation (V&V) teams to embed practical AI capabilities into their daily workflows, and help establish the foundations for a scalable, AI-enabled engineering culture.

This is not a research role. We are looking for someone who can act, build, and lead; someone who bridges the gap between cutting-edge AI tooling and the practical realities of developing regulated medical device software.

Responsibilities
  • AI Tooling and Integration
    • Evaluate, implement, and champion AI-assisted development tools (such as Git Hub Copilot, Claude Code, Cursor, and LLM-based code assistants) across the software engineering team.
    • Build internal tools and workflows that leverage large language models (LLMs) to accelerate software development, code review, documentation, and testing.
    • Identify and pilot AI use cases in V&V processes, including automated test generation, requirements traceability, and defect analysis.
    • Identify and pilot AI use cases in QA (regulatory) processes, including automated requirements traceability and workflow improvements.
  • R&D AI Leadership
    • Act as the primary AI subject matter expert within R&D, guiding the team on best practices, emerging tools, and responsible AI adoption.
    • Develop and deliver internal training and upskilling programs to lift AI literacy and capability across the broader engineering team.
    • Partner with the Head of R&D and CTO to define and execute the AI adoption roadmap for the R&D function.
    • Champion responsible AI practices within R&D, including transparency of AI-assisted outputs.
    • Contribute to internal guidelines for appropriate AI tool use, ensuring decisions made or supported by AI remain auditable and explainable.
    • Stay informed on emerging regulatory guidance around AI in medical devices and feed relevant developments into Austco's quality and compliance processes.
  • Regulated Software Environment
    • Ensure AI-assisted processes comply with applicable regulatory standards, including IEC 62304 (medical device software lifecycle) and relevant quality management requirements.
    • Work with the quality and regulatory team to document AI tool usage within the software development lifecycle (SDLC) in a manner consistent with regulatory submissions.
  • Collaboration and Innovation
    • Collaborate closely with hardware and firmware engineers to identify cross-disciplinary AI applications.
    • Stay current with developments in AI and machine learning and proactively assess their relevance to Austco's product and R&D strategy.
    • Contribute to a culture of continuous improvement and innovation within the R&D team.
Skills and Experience
  • Essential
    • Demonstrated experience as a software engineer with a strong foundation in Python and at least one additional language (C++, C#, or JavaScript preferred).
    • Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into real software engineering workflows, not just prototypes.
    • Practical experience with AI-assisted developer tooling and the ability to evaluate and implement new tools rapidly.
    • Track record of coaching or mentoring technical peers; able to translate complex AI concepts into accessible, practical guidance. Able to train small and larger teams in best practices.
    • Strong written and verbal communication skills, with the ability to document technical…
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