AI Leader

⭐ – ⭐⭐⭐ levels 
Location: Warsaw (hybrid) / Europe or US (remote-friendly) 
Team: AI & Data 
Type: Full-time 

About the Role 

We are building a new AI capability inside a fintech platform and are looking for engineers across multiple seniority levels - from junior AI engineers to AI technical leaders. 

Our goal is to develop AI-native systems that support financial decision-making, data intelligence, and autonomous workflows. This includes building LLM-powered agents, intelligent data pipelines, and scalable AI infrastructure. 

You will work on real-world AI systems that combine large language models, structured financial data, and autonomous agents to solve complex problems in the wealth management domain. 

Depending on your experience, you may contribute as an AI Engineer, Senior AI Engineer, or AI Leader. 

⭐⭐⭐ AI Leader 

Senior technical leader responsible for architecture and direction of AI systems. 

What You’ll Work On 

AI Systems & Agents 

• Build and integrate LLM-powered agents and automation systems 

• Develop AI components for financial decision support 

• Design agent modules that interact with structured financial data 

Data Intelligence 

• Implement data extraction, cleaning, and transformation pipelines 

• Work with structured financial data using SQL and Python 

• Support AI-driven insights and automated analysis 

Engineering & Infrastructure 

• Develop production-grade AI systems using Python 

• Deploy and maintain AI services in cloud environments 

• Build scalable pipelines for model experimentation, evaluation, and deployment 

Requirements 

• Proven experience designing complex AI system architectures 

• Strong expertise in LLM systems and agent frameworks 

• Production experience with AI systems 

• Ability to lead technical direction and mentor engineers 

Technologies & Areas We Work With 

• Python 

• SQL 

• Cloud infrastructure 

• LLMs and generative AI 

• Agent frameworks 

• Data extraction and processing 

• AI-driven financial decision systems 

Nice to Have 

• FinTech or financial data experience 

• Experience with multi-agent systems 

• Experience optimizing AI infrastructure cost and performance 

• Contributions to open-source AI projects 

Benefits

Health & Wellbeing

• Private medical care (access to Medicover)

• access to Multisport / sports card

• Flexible working hours

• Remote work / hybrid model

• Workation options

Professional Growth

• Annual training budget

• Access to courses

• Conference budget

Team & Culture

• Integration events

• Annual retreats / offsites

• Team lunches