Full-stack Engineer (Python + GCP)

xebiacee; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

xebiacee is seeking a mid-senior full-stack engineer to design and build scalable LLM capabilities that slot into business workflows. You will create internal tools and frameworks that make it easy for teams to adopt AI features while staying ahead of trends, from concept through production.

The role requires Python server-side development, Google Cloud Platform experience, and strong MLOps practices. Remote work from within the European Union is required with a valid EU work permit.

Qualifications

• Experience across a modern web stack.
• Server-side Python development experience.
• Experience with Google Cloud Platform.
• Hands-on MLOps experience in production environments.
• Strong collaboration from concept to delivery.

Responsibilities

• Design and implement scalable LLM capabilities that integrate into business workflows.
• Build tools and frameworks enabling teams to leverage LLM features.
• Develop and maintain platform capabilities and APIs to high quality standards.
• Work across full software delivery lifecycle from conception to release.
• Apply infrastructure-as-code to provision reliable environments.

Skills

Mid-senior level engineering

Web stack experience

Team collaboration

AI coding assistants usage

Tools

Google Cloud Platform

MLOps practices

Job description

Role overview

A mid-senior full-stack engineering role centred on designing and building scalable, high-performing large language model capabilities that slot into real business workflows. The work involves creating internal tools and frameworks that make it straightforward for other teams to adopt LLM-powered features, while keeping pace with emerging trends so the solutions stay innovative and aligned with evolving needs. The position covers the full delivery lifecycle, from concept and design through to production.

Responsibilities

• Design and implement scalable LLM capabilities that integrate seamlessly into business workflows
• Build tools and frameworks that let teams tap into LLM capabilities on their own
• Develop and maintain platform capabilities and APIs to a high quality standard
• Work across the full software delivery lifecycle, from conception through release and iteration
• Apply infrastructure-as-code practices to provision reliable, reproducible environments
• Track emerging trends and bring forward ideas that keep solutions innovative and business-relevant

Requirements

• Mid-senior level engineering experience working across a modern web stack
• Professional experience with Python as a server-side language
• Solid hands-on experience with Google Cloud Platform
• Solid experience with MLOps practices
• Comfort collaborating as part of a team from conception to delivery
• Practical experience using AI-powered coding assistants such as Claude Code, GitHub Copilot, or Cursor to improve productivity, quality, or decision-making in software delivery

Nice to have

• Experience applying generative AI in a structured way within the software development lifecycle, including defined workflows, prompt patterns, or tool integrations embedded into daily work
• Familiarity with emerging AI-driven practices such as agent-based workflows, automation patterns, and AI-augmented development, with a willingness to explore and experiment beyond standard approaches

Benefits and work setup

• Remote work from within the European Union is required, and candidates must hold a valid work permit for the region