7 дней назад
Fullstack Engineer (Python + GSP)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Fullstack Engineer (Python + GSP) (AI/LLM): Building scalable, high-performing LLM capabilities, platform capabilities, and APIs that integrate AI into business workflows with an accent on Python, GSP, MLOps, and infrastructure as code. Focus on designing reusable tools and frameworks, applying AI-powered development practices, and delivering reliable capabilities from conception through production.
Location: Bulgaria or Romania; work from the European Union region and a valid work permit are required.
Company
Global AI-first digital transformation and engineering partner delivering scalable products, platforms, data-driven solutions, and AI capabilities across 16 countries.
What you will do
- Build scalable, high-performing LLM capabilities that integrate into business workflows.
- Develop tools and frameworks that enable teams to use LLM capabilities independently.
- Build high-quality platform capabilities and APIs using Python.
- Contribute across the full delivery lifecycle, from conception through implementation.
- Apply infrastructure as code and MLOps practices to modern AI solutions.
Requirements
- Mid-senior level experience working across a modern web stack.
- Professional experience with Python and platform capability development.
- Solid experience with GSP and MLOps.
- Practical experience using AI-powered assistants such as Claude Code, GitHub Copilot, or Cursor in software delivery.
- Must work from the European Union region and hold a valid work permit.
- Ability to collaborate throughout the full delivery lifecycle and continuously improve engineering practices.
Nice to have
- Experience applying GenAI within structured software development lifecycle workflows.
- Familiarity with agent-based workflows, automation patterns, and AI-augmented development.
Culture & Benefits
- People-first culture focused on engineering excellence.
- Continuous learning, experimentation, and knowledge sharing.
- Work with modern cloud, data, AI, and digital product technologies.
- Exposure to projects for international clients across multiple industries.
Hiring process
- CV review.
- HR call, interview, and client interview.
- Final decision.
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