Role: AI-Augmented Full Stack Engineer
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.
Role: AI-Augmented Full Stack Engineer 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...
Role: AI-Augmented Full Stack Engineer
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.
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