2 дня назад
Senior Lead Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Lead Engineer (AI) (React/Node.js/Python/LLM): Building scalable AI-powered enterprise capabilities across frontend, backend, integration, and cloud layers with an accent on React, Node.js, Python, RAG pipelines, and LLM orchestration. Focus on designing end-to-end product flows, integrating APIs and data sources, and solving challenges in secure, scalable, production-ready AI delivery.
Location: Hybrid positions available in Bydgoszcz, Katowice, Wrocław, Opole, Kraków, Gdańsk, Lublin, Poznań, or Warszawa, Poland. Hybrid work applies after onboarding, combining office work with home office.
Company
is a global business and technology transformation partner delivering AI-powered technology, engineering, design, and business solutions across more than 50 countries.
What you will do
- Lead the design and implementation of scalable frontend solutions using React.
- Architect and build high-performance backend services with JavaScript, TypeScript, Node.js, and related frameworks.
- Develop and integrate Python-based AI and LLM solutions, including orchestration flows, RAG pipelines, and model interaction logic.
- Connect frontend, backend, and AI capabilities into end-to-end product flows across APIs, data sources, and cloud services.
- Translate business requirements and user journeys into secure, scalable, and maintainable technical solutions.
- Drive technical problem-solving and maintain standards for quality, performance, integration, and production readiness.
Requirements
- Degree in Computer Science, Engineering, AI, Data Science, or equivalent practical experience.
- Strong hands-on software engineering experience in AI/ML, LLM, or platform environments.
- Advanced Python expertise for AI/LLM orchestration, data processing, and model integration.
- Strong experience with React and modern frontend development.
- Solid experience with JavaScript/TypeScript, Node.js, APIs, microservices, and integrated systems.
- Understanding of LLM architectures, including RAG, embeddings, prompt engineering, and evaluation; familiarity with cloud platforms, preferably GCP, and secure enterprise delivery practices.
Culture & Benefits
- Hybrid working model with office access and ergonomic home-office equipment, including a laptop, monitor, and chair.
- Medical care through Medicover, private life insurance, and a Sports card.
- Access to therapeutic support through the Helpline.
- More than 70 training tracks with certification opportunities through the NEXT platform.
- Access to Education First, TED Talks, and Udemy Business learning materials.
- Continuous feedback and performance discussions supported by a transparent performance management process.
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