Senior AI Engineer (Python)
⚲ Warszawa, Kraków, Wrocław
110 - 150 PLN netto (B2B)
Wymagania
- LangChain, LangGraph, LlamaIndex or similar
- Docker
- fastapi
- Kubernetes
- AI or Generative AI solutions
- RAG solutions
- Python
- LLM APIs
- AI Agents
Opis stanowiska
About the role
We are looking for a Senior AI Engineer to develop production-grade AI applications using Python and modern Generative AI technologies. You will build scalable AI services, integrate Large Language Models into enterprise systems and collaborate closely with architects and product teams.
Responsibilities
• Design and develop AI-powered applications using Python
• Build production-ready LLM integrations and AI services
• Develop RAG pipelines and knowledge retrieval solutions
• Integrate external APIs, enterprise systems and AI models
• Create reusable AI components and backend services
• Optimize prompts, inference performance and application quality
• Develop automated testing for AI applications
• Collaborate with Architects, Data Engineers and Software Engineers
• Participate in code reviews and technical improvements
• Contribute to CI/CD and engineering best practices
Requirements
• 5+ years of software engineering experience
• 2+ years of commercial experience developing AI or Generative AI solutions
• Strong Python programming skills
• Experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, Gemini or similar)
• Experience with LangChain, LangGraph, LlamaIndex or similar frameworks
• Experience building RAG solutions
• Experience working with vector databases
• Strong understanding of REST APIs and backend development
• Experience with Docker
• Experience with Git and CI/CD
• Knowledge of prompt engineering
• Familiarity with cloud platforms (Azure, AWS or GCP)
• Good communication skills
• Fluent English - C1
Nice to have
• Experience with AI Agents
• Knowledge of FastAPI
• Experience with Kubernetes
• Experience with LLM evaluation and observability
• Experience with Azure AI Foundry, AWS Bedrock or Google Vertex AI
• AI-related certifications
We are looking for a Senior AI Engineer to develop production-grade AI applications using Python and modern Generative AI technologies. You will build scalable AI services, integrate Large Language Models into enterprise systems and collaborate closely with architects and product teams.
Responsibilities
• Design and develop AI-powered applications using Python
• Build production-ready LLM integrations and AI services
• Develop RAG pipelines and knowledge retrieval solutions
• Integrate external APIs, enterprise systems and AI models
• Create reusable AI components and backend services
• Optimize prompts, inference performance and application quality
• Develop automated testing for AI applications
• Collaborate with Architects, Data Engineers and Software Engineers
• Participate in code reviews and technical improvements
• Contribute to CI/CD and engineering best practices
Requirements
• 5+ years of software engineering experience
• 2+ years of commercial experience developing AI or Generative AI solutions
• Strong Python programming skills
• Experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, Gemini or similar)
• Experience with LangChain, LangGraph, LlamaIndex or similar frameworks
• Experience building RAG solutions
• Experience working with vector databases
• Strong understanding of REST APIs and backend development
• Experience with Docker
• Experience with Git and CI/CD
• Knowledge of prompt engineering
• Familiarity with cloud platforms (Azure, AWS or GCP)
• Good communication skills
• Fluent English - C1
Nice to have
• Experience with AI Agents
• Knowledge of FastAPI
• Experience with Kubernetes
• Experience with LLM evaluation and observability
• Experience with Azure AI Foundry, AWS Bedrock or Google Vertex AI
• AI-related certifications
🔍 Dekoder Ogłoszenia
🟡
develop production-grade AI applications
Oczekuje się, że będziesz tworzyć stabilne i skalowalne rozwiązania AI, które będą działać w środowisku produkcyjnym.
🔴
integrate Large Language Models into enterprise systems
Będziesz musiał połączyć modele językowe z istniejącymi, często złożonymi i starszymi systemami firmy.
🟡
Develop RAG pipelines and knowledge retrieval solutions
Oczekuje się, że będziesz budować systemy wyszukiwania informacji oparte na danych firmy, a nie tylko na ogólnej wiedzy modelu.
🟡
Optimize prompts, inference performance and application quality
Będziesz odpowiedzialny za dostrajanie modeli i aplikacji, aby działały szybciej i dawały lepsze wyniki.
🟢
Participate in code reviews and technical improvements
Oczekuje się aktywnego udziału w procesie przeglądu kodu i proponowania usprawnień technicznych.