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Gen AI Engineer at Impact AI Lab (F/M)

INSTYTUT BADAWCZY IDEAS

⚲ Warszawa

14 000 - 20 000 PLN brutto (UoP)

Wymagania

  • AI

Opis stanowiska

IDEAS RESEARCH INSTITUTE
is a research and development center operating in the field of artificial intelligence and digital economy. Its mission is to support the development of these technologies in Poland by creating a platform connecting the academic and business communities.
IDEAS RESEARCH INSTITUTE was established by the Ministry of Digital Affairs and the Ministry of National Defense. Our goal is to build the largest space in Poland conducive to conducting innovative research, as well as to educate a new generation of scientists focused on the practical application of developed algorithms and their subsequent commercialization in industry, finance, medicine, and other sectors of the economy. The highest level of expertise of the implemented projects guarantees the opportunity to collaborate with scientists of global standing.

 

We are looking for:

Position: Gen AI Engineer at Impact AI Lab (F/M)

Type of employment: contract of employment

Working hours: Full time

Type of work: hybrid
 

1.     Your responsibilities
Join the most technologically advanced Scientific Institute researching AI in Poland. In this role, you will work at the absolute cutting edge of technology, solving highly non-trivial problems with significant societal impact, particularly within the public administration sector. You will be part of an ambitious team pushing the boundaries of applied Generative AI, creating innovative prototypes, and overcoming strict market constraints. Your daily work will involve:
·       Designing, developing, and implementing state-of-the-art (SOTA) Gen AI and agentic systems;
·       Rapid prototyping of AI solutions, tailored specifically for the public administration sector with strict regulatory and market constraints;
·       Deploying and running local models on constrained computational resources, actively optimizing systems across multiple axes;
·       Managing the end-to-end MLOps lifecycle for deployed Gen AI systems;
·       Applying a scientific mindset to solve complex engineering problems using the latest technological advancements.
 

2.    Our requirements:
·       Education: Bachelor’s or Master’s degree in Computer Science or highly related field;
·       Proven commercial experience as an AI/ML Engineer with a strong focus on Generative AI and LLM orchestration or serving tools;
·       Mandatory, hands-on experience with Large Language Models (LLMs);
·       Practical knowledge of industrial technologies used to build agentic workflows and systems;

Nice to have: Experience with VLLMs, classic Deep Learning, and standard Machine Learning frameworks;Huge plus: Published research papers in the field of Generative AI;
Huge plus: Proven record of building backend or frontend for agentic solution.
 

3.    Required documents:
·       CV, including a consent clause regarding the GDPR;
·       Cover letter.
 

4.    We offer:
• gross basic salary between 14 000 – 20 000 PLN;
• Quarterly bonus;
• sharing the costs of sports activities;
• private medical care;
• sharing the costs of professional training & courses;
• flexible working time;
• integration events;
• no dress code;
• coffee / tea;
• holiday funds.

🔍 Dekoder Ogłoszenia

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absolute cutting edge of technology
Może oznaczać pracę z najnowszymi, ale jeszcze nie w pełni stabilnymi lub udokumentowanymi technologiami.
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solving highly non-trivial problems
Problemy mogą być złożone i wymagać niestandardowych rozwiązań, co może oznaczać brak gotowych odpowiedzi i dużą ilość eksperymentów.
🔴
significant societal impact, particularly within the public administration sector
Praca może być związana z długimi cyklami wdrożeniowymi i biurokracją charakterystyczną dla sektora publicznego.
🔴
overcoming strict market constraints
Może oznaczać pracę z ograniczonym budżetem, narzuconymi technologiami lub innymi ograniczeniami, które utrudniają innowacyjność.
🔴
pushing the boundaries of applied Generative AI
Sugestia pracy nad nowymi, nieznanymi jeszcze rozwiązaniami, co wiąże się z ryzykiem niepowodzenia i brakiem gwarancji sukcesu.