We are seeking a Senior AI Workflow Development Engineer to build agentic workflows that support exception handling, data classification, decision-making and reporting automation. This role requires strong hands-on application development experience using AI tools and frameworks, with a focus on delivering practical workflow automation in partnership with operations teams.
Please note that working from the customer's office is required 4 days per week.
Responsibilities
- Build AI-powered workflows for exception handling, triage, categorization and decision support
- Develop agents able to process data quality issues, natural-language exceptions and vendor-submitted issue descriptions
- Create automation for back-reporting processes and operational workflow support
- Implement natural language matching and classification logic for data and reporting issues
- Deliver proof-of-concept and production-ready applications using LLM-based approaches
- Collaborate with Reg Ops and business users to extract workflow steps, decision points and cognitive load from current processes
- Support eventual rule-text interpretation, sourcing logic, transformation logic and code-generation use cases
- Help reduce manual effort in onboarding and handling large volumes of reports and exceptions
Requirements
- Hands-on experience building AI applications, not just experimenting with models
- Proficiency in LangChain, AWS and LLM-based application development
- Expertise in implementing RAG solutions
- Skills in workflow automation and application development
- Capability to work with operations stakeholders to translate business processes into technical workflows
- Local presence in Warsaw and ability to work under a local-to-local contract
Nice to have
- Background in exception management, classification or decision automation workflows
- Familiarity with regulated operations or reporting environments
- Knowledge of data quality issue handling and vendor issue matching
- Capability to support agentic roadmap work from initial classification through action-taking workflows