Join a team delivering enterprise-grade AI and machine learning solutions for global organizations. You will be responsible for the end-to-end delivery of AI products from architecture and development through deployment and production support. Working closely with business stakeholders you will build scalable secure and compliant AI applications conversational assistants agent-based systems and cloud-native platforms that create measurable business value.
Your tasks
Collaborate with business stakeholders and translate requirements into scalable AI solutions
Design build and deliver production-grade AI and machine learning systems
Develop AI assistants chatbots agentic workflows and RAG-based applications
Design scalable cloud data and AI architectures
Develop frontend and backend services APIs and enterprise integrations
Implement MLOps and LLMOps processes including monitoring evaluation and governance
Build and maintain AI deployment pipelines and automation frameworks
Provide post-production support and continuous optimization of live solutions
Ensure security reliability performance and compliance across AI platforms
Requirements
7 years of software engineering experience with 3 years delivering production-grade AI or machine learning solutions
Experience delivering end-to-end AI systems from concept through production deployment
Hands-on experience building conversational AI chatbots assistants or agent-based solutions
Expert-level Python development skills and software engineering best practices
Knowledge of software design patterns automated testing and microservices architectures
Hands-on experience with Docker Kubernetes and deployment automation
Experience with cloud platforms such as Microsoft Azure AWS or GCP
Practical knowledge of enterprise LLMs including GPT Claude Gemini Llama or Mistral
Hands-on experience with prompt engineering function calling structured outputs and workflow orchestration
Experience building agent-based systems tool integrations and human-in-the-loop workflows
Knowledge of LangGraph LangChain or Google ADK
Experience with traditional machine learning techniques and model evaluation
Hands-on experience with PyTorch TensorFlow or Scikit-learn
Experience with MLflow Kubeflow or cloud-native MLOps platforms
Knowledge of monitoring observability model governance and performance optimization
Openness to work hybrid from our clients office (Kraków) 8 days a month
Nice to have
Experience with LlamaIndex Semantic Kernel AutoGen or CrewAI
Experience with large-scale enterprise AI transformation programs
Knowledge of model explainability and responsible AI practices
Experience with cost optimization and AI platform governance
Exposure to multi-agent architectures and autonomous task execution
Required Experience:
Staff IC
Employment Type : Contract Experience: years Vacancy: 1
Utwórz powiadomienie o ofertach pracy dla tego wyszukiwania
Principal Fullstack AIML Consultant • Kraków, Lesser Poland Voivodeship, Poland