3 дня назад
Junior Fullstack Engineer (Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Junior Fullstack Engineer (Generative AI) (React/TypeScript, NodeJS/Python, LLMs): Building and maintaining enterprise-grade AI-enabled web applications with an accent on full-stack development, REST APIs, cloud infrastructure, and responsible generative AI integration. Focus on evolving proofs of concept into production-ready features, integrating LLM capabilities, and writing tested software within an Agile engineering team.
Location: Cluj, Romania; hybrid work with at least three days per week in the office
Company
Global risk, reinsurance, capital, people and investments, and management consulting organization serving clients in 130 countries.
What you will do
- Contribute to the development and maintenance of full-stack web applications.
- Build frontend features with React and TypeScript or similar frameworks.
- Support backend services and REST APIs using NodeJS, NestJS, or Python frameworks such as FastAPI and Django.
- Integrate LLM-based capabilities and help evolve proofs of concept into stable, production-ready features.
- Support cloud deployment and application operations, including work with AWS and SQL or NoSQL data stores.
- Participate in code reviews and Agile ceremonies while collaborating with the engineering team.
Requirements
- 1–2 years of professional software engineering experience, or equivalent experience through internships, placements, or relevant projects.
- Foundational knowledge of JavaScript or TypeScript and a modern frontend framework, preferably React.
- Basic backend development experience with NodeJS or Python, plus familiarity with RESTful APIs and client-server concepts.
- Exposure to cloud-based systems or willingness to learn cloud technologies.
- Basic understanding of Agile development practices and strong communication skills.
- Interest in generative AI and applying LLMs in software systems.
Nice to have
- Hands-on experimentation with LLM APIs or tooling.
- Familiarity with prompting, basic evaluation, or simple RAG patterns.
- Academic, personal, or early professional projects involving AI-enabled applications.
- Exposure to AWS, Azure, or other cloud platforms through coursework or projects.
- Interest in software quality, security, and reliability.
Culture & Benefits
- Supportive environment with mentorship, professional development, and clear progression toward mid-level and senior engineering roles.
- Hands-on experience building enterprise AI solutions with modern technologies and engineering practices.
- Inclusive and collaborative hybrid work environment.
- Flexible benefits budget of up to 20% of annual salary, performance bonus scheme, and 30+ days off.
- Pension, life and medical insurance, meal vouchers, travel insurance, and charity-related benefits.
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