AI Engineer (f/m/x)
⚲ Warszawa
18 000 - 25 000 PLN netto (B2B)
Wymagania
- Python
- API
- AI
- LLM
- Git
- CI/CD
- GenAI
Opis stanowiska
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.
Your tasks
• 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
Requirements
• 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 required
Nice-to-have requirements
• Experience with Java or other scripting languages
Your tasks
• 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
Requirements
• 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 required
Nice-to-have requirements
• Experience with Java or other scripting languages
🔍 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
Oznacza to, że będziesz odpowiedzialny za wprowadzanie narzędzi AI do procesów tworzenia oprogramowania, aby usprawnić pracę, ale skala i rzeczywisty wpływ tych usprawnień mogą być niejasne.
🔴
You will act as a hands-on technical contributor, bridging Generative AI technologies with engineering practices and enterprise software delivery processes
Choć brzmi to jak praca techniczna, może oznaczać, że będziesz musiał dużo czasu poświęcić na tłumaczenie złożonych koncepcji AI zespołom inżynierskim i wdrażanie rozwiązań, a nie tylko na samo tworzenie modeli.
🔴
Measuring and tracking productivity improvements and adoption KPIs
Może to oznaczać, że będziesz musiał udowodnić wartość wprowadzanych rozwiązań AI, co może wiązać się z presją na osiąganie konkretnych, trudnych do zmierzenia wskaźników.
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Coaching engineering teams on AI adoption
Oprócz zadań technicznych, będziesz musiał szkolić i wspierać inne zespoły w korzystaniu z nowych technologii AI, co może wymagać dodatkowych umiejętności miękkich i czasu.
🟡
Evaluating emerging AI tools and frameworks and conducting Proofs of Concept (PoCs)
Oznacza to eksplorację nowych technologii i eksperymentowanie z nimi, co może być ekscytujące, ale też nie gwarantuje, że projekty te zostaną wdrożone na szeroką skalę.