Senior AI Engineer – finance industry (f/m/x)

Sii Polska is hiring for a newly formed AI team delivering a strategic initiative in the banking sector, focused on co-creating a modern AI-native platform from scratch.

• At least 3 years in AI/ML and a minimum of 5 years in product development
• Strong Python skills
• Hands-on experience with LLMs, RAG, and agent-based systems in production
• Familiarity with frameworks such as Agno, LangChain, LlamaIndex, or similar
• Knowledge of prompt engineering and AI model evaluation
• Experience with Azure or AWS
• Understanding of vector databases and embeddings
• Experience with workflow orchestration tools (e.g., Temporal, Prefect, Airflow)
• Ability to design scalable, reliable AI solutions
• Experience in model monitoring and MLOps practices
• Capability to make architectural decisions and assess the business value of AI
• Strong collaboration skills with technical and business stakeholders
• Fluent English

Nice to have:

• Previous work in financial services, fintech, or other regulated industries
• Knowledge of compliance, auditability, and AI security
• Familiarity with MLOps and large-scale ML/LLM deployments
• Experience fine-tuning open-source models for specific domains
• Proven track record in developing AI solutions for data platforms, analytics, or SaaS products
• Background in AI R&D projects
• Publications, conference speaking, or open-source contributions
• Experience building and scaling technical teams

• Design and develop solutions based on LLMs, RAG, and agent-based architectures
• Co-create and execute an AI strategy for a modern banking platform
• Select models, frameworks, and approaches for production-grade AI solutions
• Build systems for data integration, transformation, and validation automation
• Define prompt engineering, model evaluation, and AI quality standards
• Develop monitoring, evaluation, and continuous improvement mechanisms
• Collaborate with engineering and product teams on new features
• Ensure high quality, transparency, and auditability of AI outputs
• Contribute to key architectural decisions and AI direction
• Mentor and share knowledge within the AI team