Hiring: AI-Augmented Full Stack Engineer - Python | W2 Only | Ex-Oracle / Google / Meta Preferred

TMS LLC • Austin, TX

3d • Onsite

About The Position

This role focuses on an AI-Augmented Full Stack Engineer with Python expertise. The engineer will be responsible for designing, developing, testing, deploying, and maintaining scalable, secure, and reliable software applications. A key aspect of this role involves utilizing GenAI tools to accelerate the software development lifecycle (SDLC), including code generation, test generation, refactoring, and debugging. The engineer will also be responsible for creating effective prompts for AI tools, breaking down complex tasks, and reviewing AI-generated code for production readiness. Strong computer science fundamentals are essential, along with experience in distributed systems, APIs, databases, cloud-native design, and secure coding practices. The position is for W2 employment only and prefers candidates with prior experience at companies like Oracle, Google, or Meta.

Requirements

• Strong computer science fundamentals including data structures, algorithms, distributed systems, APIs, databases, cloud-native design, and secure coding practices.
• Experience with Python.
• Ability to design, develop, test, deploy, and maintain scalable, secure, and reliable software applications.
• Proficiency in writing clean, modular, maintainable, and well-tested code.
• Experience with GenAI tools for software development acceleration.
• Skill in creating high-quality prompts, task specifications, and context packs.
• Ability to break down complex engineering work into AI-executable tasks.
• Experience reviewing, validating, and improving AI-generated code.

Nice To Haves

• Ex-Oracle / Google / Meta experience preferred.

Responsibilities

• 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.
• 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, and 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 11-50 employees