Hiring AIAugmented Full Stack Engineer Python W2 Only ExOracle Google Meta Prefe
TMS LLC, Austin, TX, United States
Job Description
Role: AI-Augmented Full Stack Engineer - Python | W2 Only
Duration: 12+ Months
Location: Austin, TX
Key Responsibilities
Software Engineering
Design, develop, test, deploy, and maintain scalable, secure, and reliable software applications.
Write clean, modular, maintainable, and well-tested code.
Apply strong computer science fundamentals including data structures, algorithms, distributed systems, APIs, databases, cloud-native design, and secure coding practices.
Participate in architecture, design reviews, code reviews, production support, and continuous improvement.
AI-Augmented Development
Use GenAI tools to accelerate software delivery across the SDLC.
Leverage AI coding assistants and agentic tools for:
Code generation
Test generation
Test automation
Refactoring
Code explanation
Legacy code analysis
Documentation
Debugging
Build and deployment automation
Root cause analysis
API and integration development
Create high-quality prompts, task specifications, and context packs that guide AI tools effectively.
Break complex engineering work into AI-executable tasks with clear acceptance criteria.
Review, validate, and improve AI-generated code before merging into production systems.
All your information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr
Role: AI-Augmented Full Stack Engineer - Python | W2 Only
Duration: 12+ Months
Location: Austin, TX
Key Responsibilities
Software Engineering
Design, develop, test, deploy, and maintain scalable, secure, and reliable software applications.
Write clean, modular, maintainable, and well-tested code.
Apply strong computer science fundamentals including data structures, algorithms, distributed systems, APIs, databases, cloud-native design, and secure coding practices.
Participate in architecture, design reviews, code reviews, production support, and continuous improvement.
AI-Augmented Development
Use GenAI tools to accelerate software delivery across the SDLC.
Leverage AI coding assistants and agentic tools for:
Code generation
Test generation
Test automation
Refactoring
Code explanation
Legacy code analysis
Documentation
Debugging
Build and deployment automation
Root cause analysis
API and integration development
Create high-quality prompts, task specifications, and context packs that guide AI tools effectively.
Break complex engineering work into AI-executable tasks with clear acceptance criteria.
Review, validate, and improve AI-generated code before merging into production systems.
All your information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr