Senior AI Engineer (with Python)
⚲ Wrocław
18 480 - 25 200 PLN (B2B)
Wymagania
- AI
- Python
- Azure
- REST API
- Git
- Cloud platform
- AWS (nice to have)
- Communication skills (nice to have)
Opis stanowiska
O projekcie:
Senior AI Engineer (with Python)Senior AI Engineer (Python): Build production-grade AI apps, integrate LLMs, design RAG pipelines, and ship scalable, observable AI services with clean Python.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.
About Spyrosoft
Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, we were among the fastest growing technology companies in Europe, according to the Financial Times. We were founded by a group of tech experts with established backgrounds in software engineering, who created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. Having a unique offering, which bridge the gap between technology and business, we specialise in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries.
Wymagania:
- 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 - C1Nice 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
Codzienne zadania:
- 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
Senior AI Engineer (with Python)Senior AI Engineer (Python): Build production-grade AI apps, integrate LLMs, design RAG pipelines, and ship scalable, observable AI services with clean Python.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.
About Spyrosoft
Spyrosoft is an authentic, cutting-edge software engineering company, established in 2016. In 2021 and 2022, we were among the fastest growing technology companies in Europe, according to the Financial Times. We were founded by a group of tech experts with established backgrounds in software engineering, who created an ‘engineer-to-engineer’ workplace, powered by enthusiasm, fairness and authentic relationships. Having a unique offering, which bridge the gap between technology and business, we specialise in technology solutions for industry 4.0, automotive, geospatial, healthcare & life sciences, employee experience & education and financial services industries.
Wymagania:
- 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 - C1Nice 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
Codzienne zadania:
- 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
🔍 Dekoder Ogłoszenia
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Build production-grade AI apps
Oznacza to tworzenie aplikacji AI, które są gotowe do wdrożenia i obsługi w środowisku produkcyjnym, a nie tylko prototypów.
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integrate LLMs
Wymaga umiejętności włączania dużych modeli językowych do istniejących lub nowych systemów, co może być złożonym zadaniem.
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design RAG pipelines
Wskazuje na potrzebę projektowania i implementacji potoków Retrieval-Augmented Generation, co jest specyficzną i zaawansowaną techniką w AI.
🟢
ship scalable, observable AI services
Podkreśla potrzebę tworzenia usług AI, które można łatwo skalować i monitorować, co jest kluczowe dla stabilności i wydajności.
🟢
clean Python
Sugeruje oczekiwanie wysokiej jakości, czytelnego i dobrze zorganizowanego kodu Python, zgodnego z dobrymi praktykami programistycznymi.