AI Engineer – GenAI & Cloud (f/m/x)

Sii is hiring for an AI Engineer to build AI systems deployed in production across cloud platforms like Azure, AWS, and GCP. The role involves working with generative and classical AI stacks, including agentic AI, knowledge-grounded AI systems, and traditional machine learning models.

• At least 4 years in software or ML engineering with hands-on experience shipping AI/ML systems to production
• Strong Python skills for maintainable, tested production code
• Practical experience with AI/ML frameworks such as LangChain, LangGraph, or Semantic Kernel
• Working knowledge of at least one major cloud platform (Azure, AWS, or GCP) and its AI/ML services
• Experience with vector databases, embedding models, and retrieval systems
• Familiarity with MLOps fundamentals including model versioning, experiment tracking, CI/CD for ML, and monitoring
• Ability to work autonomously and collaborate effectively with architects, data engineers, and product teams
• Fluent in English (written and spoken)
• Fluent in Polish
• Residing in Poland required

Nice to have:

• Experience fine-tuning LLMs (LoRA, QLoRA) or working with model training pipelines
• Background in classical ML such as scikit-learn, XGBoost, time series forecasting, or recommendation systems
• Experience with containerized deployments (Docker, Kubernetes) and infrastructure-as-code
• Contributions to open-source AI/ML projects or published technical writing

• Build and deploy knowledge-grounded AI systems end-to-end: data ingestion, chunking, embedding pipelines, retrieval logic, re-ranking, and response generation
• Develop agentic applications using frameworks like LangGraph, LangChain, and Semantic Kernel
• Implement and maintain ML pipelines for prediction, classification, recommendation, and optimization models
• Deploy and optimize model serving infrastructure including API endpoints, batching, caching, GPU utilization, and cost management
• Write clean, tested, production-grade Python code
• Build evaluation and monitoring pipelines for quality checks, drift detection, latency tracking, and human-in-the-loop feedback
• Work with cloud-native AI services on at least one major platform (Azure, AWS, or GCP)
• Collaborate with AI Architects on technical design and with data engineers on data availability and quality

Residing in Poland is required for this position.