AI Engineer (f/m/x)
⚲ Warszawa
18 000 - 25 000 PLN (B2B)
Wymagania
- Python
- API
- AI
- LLM
- Git
- CI/CD
- GenAI
Opis stanowiska
O projekcie:
We are looking for an AI Engineer to integrate AI capabilities across the Software Development Life Cycle (SDLC) to enhance engineering productivity, software quality, and operational efficiency. You will work closely with software engineering teams to identify, design, implement, and scale AI-powered solutions that support various activities, including development, testing, and DevSecOps. You will act as a hands-on technical contributor, bridging Generative AI technologies with engineering practices and enterprise software delivery processes.
Wymagania:
- Minimum 4 years of experience in software engineering or DevOps- Expertise in Python, APIs, and microservices architecture- Hands-on experience with Git, CI/CD, and DevOps practices- Solid understanding of the Software Development Life Cycle (SDLC) processes- Proven ability to deliver automation solutions and move from PoC to industrialized solutions- Strong problem-solving mindset and critical thinking skills- Fluent Polish and English- Residing in Poland requiredNice-to-have requirements- Experience with Java or other scripting languages
Codzienne zadania:
- Identifying opportunities to augment SDLC activities using AI
- Designing and implementing AI-enabled workflows across the IT Value Chain
- Measuring and tracking productivity improvements and adoption KPIs
- Implementing AI-assisted coding solutions and integrating coding agents into developer workflows
- Supporting code generation, code review, refactoring, and documentation automation
- Defining engineering guardrails and governance for AI-assisted development
- Evaluating emerging AI tools and frameworks and conducting Proofs of Concept (PoCs)
- Driving the industrialization of successful experiments
- Coaching engineering teams on AI adoption
We are looking for an AI Engineer to integrate AI capabilities across the Software Development Life Cycle (SDLC) to enhance engineering productivity, software quality, and operational efficiency. You will work closely with software engineering teams to identify, design, implement, and scale AI-powered solutions that support various activities, including development, testing, and DevSecOps. You will act as a hands-on technical contributor, bridging Generative AI technologies with engineering practices and enterprise software delivery processes.
Wymagania:
- Minimum 4 years of experience in software engineering or DevOps- Expertise in Python, APIs, and microservices architecture- Hands-on experience with Git, CI/CD, and DevOps practices- Solid understanding of the Software Development Life Cycle (SDLC) processes- Proven ability to deliver automation solutions and move from PoC to industrialized solutions- Strong problem-solving mindset and critical thinking skills- Fluent Polish and English- Residing in Poland requiredNice-to-have requirements- Experience with Java or other scripting languages
Codzienne zadania:
- Identifying opportunities to augment SDLC activities using AI
- Designing and implementing AI-enabled workflows across the IT Value Chain
- Measuring and tracking productivity improvements and adoption KPIs
- Implementing AI-assisted coding solutions and integrating coding agents into developer workflows
- Supporting code generation, code review, refactoring, and documentation automation
- Defining engineering guardrails and governance for AI-assisted development
- Evaluating emerging AI tools and frameworks and conducting Proofs of Concept (PoCs)
- Driving the industrialization of successful experiments
- Coaching engineering teams on AI adoption
🔍 Dekoder Ogłoszenia
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integrate AI capabilities across the Software Development Life Cycle (SDLC) to enhance engineering productivity, software quality, and operational efficiency
Oczekuje się, że będziesz szukać sposobów na zastosowanie AI w istniejących procesach, a niekoniecznie tworzyć od zera nowe, zaawansowane rozwiązania AI.
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You will act as a hands-on technical contributor, bridging Generative AI technologies with engineering practices and enterprise software delivery processes.
Rola będzie polegać na praktycznym wdrażaniu istniejących narzędzi AI do usprawnienia pracy inżynierów, a nie na badaniach i rozwoju nowych modeli AI.
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Proven ability to deliver automation solutions and move from PoC to industrialized solutions
Może oznaczać, że będziesz musiał przekształcać prototypowe pomysły w działające, skalowalne rozwiązania, co bywa trudne i czasochłonne.
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Measuring and tracking productivity improvements and adoption KPIs
Twoja praca będzie oceniana na podstawie konkretnych, mierzalnych wskaźników, co może oznaczać presję na wyniki.
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Implementing AI-assisted coding solutions and integrating coding agents into developer workflows
Główny nacisk będzie położony na integrację istniejących narzędzi AI wspomagających kodowanie, a nie na tworzenie od podstaw własnych inteligentnych agentów.