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# AI Software Engineer Expert

- **Company:** Tacala Austin Corp.
- **Location:** Dallas, TX, United States
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Artificial Intelligence, Automation of Tests, C++ (Programming Language), Code Review, Encodings, Continuous Integration, DevOps, Programming Tools, Firmware, Python (Programming Language), Systems Development Life Cycle, Requirements Management, Requirements Traceability, Software Engineering, Large Language Models, Information Technology
- **Published:** September 26, 2026
- **Apply:** https://www.thejobnetwork.com/job/8d89f6db-3472-423c-ac6c-d39c4dbe9018/ai-software-engineer-expert-inoffice-dallas-tx

## About the Role

This position is not eligible for employer-sponsored work authorization. Candidates must be authorized to work in the United States without current or future visa sponsorship., * Essential REQUIRED

 * Strong software engineering background such as, Python essential, plus C++, C#, or JavaScript

 * Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into real production workflows - not just prototypes

 * Practical experience with AI-assisted developer tooling; able to evaluate and implement new tools rapidly

 * Track record of coaching and up-skilling technical peers and able to train other team members

 * Strong written and verbal communication, including documentation for both engineering and regulatory audiences

 * Highly Desirable

 * Familiarity with regulated software environments such as, IEC 62304, IEC 62443, UL 1069, or equivalent

 * Experience in medical devices, healthcare technology, or other safety-critical industries

 * Exposure to automated testing frameworks, CI/CD pipelines, and DevOps practices

 * Experience building AI-assisted tools for V&V, requirements management, or software QA

 * Relevant tertiary qualification in software engineering, computer science, or related discipline

## Description

* Evaluate, implement, and champion AI-assisted tools (GitHub Copilot, Claude Code, Cursor, LLM-based assistants) across the engineering team

 * Build internal tools and workflows using LLMs to accelerate development, code review, documentation, and testing

 * Pilot AI use cases in V&V and QA processes - automated test generation, requirements traceability, and defect analysis

 * R&D AI leadership

 * Serve as the primary AI subject matter expert within R&D

 * Design and deliver internal training programs to lift AI capability across the engineering team

 * Partner with the Head of R&D and CTO to define the AI adoption roadmap

 * Champion responsible, auditable AI practices and contribute to internal usage guidelines

 * Stay across emerging regulatory guidance on AI in medical devices

 * Regulated software environment

 * Ensure AI-assisted processes comply with IEC 62304 and applicable quality management requirements

 * Work with the quality and regulatory team to document AI tool usage within the SDLC for regulatory submissions

 * Collaboration and innovation

 * Identify cross-disciplinary AI applications with hardware and firmware engineers

 * Contribute to a culture of continuous improvement within the R&D team


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