- Work model
- Hybrid
- Experience
- 5+ years
- Employment
- Not specified
- Compensation
- Not disclosed
- Technology signal
- 11 tags
Technology context
11Parsed from the vacancy text; ordered by relevance to this role.
Full listing
Role description
We are seeking a highly skilled Senior or Lead AI Engineer with experience in Python , willing to join a Project for one of our Key Clients.
This position offers a hybrid model, with 3 days per week working from the Warsaw office.
Are you passionate about moving beyond AI experimentation and building real-world, production-ready AI applications? We are looking for an AI Solutions Engineer to design and deploy intelligent, agentic workflows. In this role, you won't just work with models - you will build the systems that automate exception handling, data classification, decision-making, and reporting.
Working closely with our operations teams, you will turn complex manual business processes into seamless, automated cognitive workflows, directly reducing manual effort and driving operational efficiency.
Responsibilities
- Build Agentic Workflows: Design and implement AI-powered agents to handle triage, categorization, and decision support for natural-language exceptions and vendor-submitted issues
- Automate & Classify: Develop sophisticated natural language matching and classification logic to identify and resolve data quality and reporting anomalies
- Bridge Business & AI: Collaborate closely with Regulatory Operations (Reg Ops) and business stakeholders to map out current workflows, identify cognitive bottlenecks, and translate them into technical automation
- Prototype to Production: Take ideas from initial Proof of Concept (PoC) all the way to robust, scalable production-ready LLM applications
- Shape the Future Roadmap: Support long-term initiatives including rule-text interpretation, sourcing/transformation logic, and automated code-generation
Requirements
- Hands-on experience developing and deploying AI applications (not just querying APIs or experimenting in notebooks)
- Strong experience with Python, LangChain, Cloud Technologies and LLM-based application development
- Proven experience implementing and optimizing RAG (Retrieval-Augmented Generation) solutions
- Outstanding ability to collaborate with non-technical operations stakeholders and translate complex business logic into automated workflows
- Ability to support agentic roadmap work from initial classification through action-taking workflows