Senior GenAI Developer

Svitla Systems Inc. is looking for a Senior GenAI Developer for a full-time position (40 hours per week) in Poland. Our Client, a European bank, is building a dedicated Generative AI team focused on developing and maintaining AI-powered solutions that improve internal operations, customer experience, and developer productivity.

• Strong commercial experience with Python.
• Working experience with React/TypeScript and Java/Spring Boot - not expert-level, but sufficient to critically review, judge the quality of, and refactor AI-generated code.
• Solid experience in designing, developing, and maintaining modern web applications and backend services.
• Hands-on experience building or integrating RAG pipelines, including enterprise-scale concerns: guardrails, observability, monitoring, and scaling.
• Genuine curiosity and active involvement in agentic development - able to speak to how AI/agents are reshaping the SDLC, not just theoretical awareness.
• Experience working with the Azure ecosystem - Azure AI Services, Azure AI Foundry.
• Experience working in large corporate or restricted IT environments, with an understanding of security, compliance, and data privacy requirements.
• Good communication and collaboration skills.
• Willingness to travel for business trips 2 - 3 times per year.
• Experience with Azure AI Services, Azure AI Foundry, or Azure Kubernetes Service (AKS).
• Familiarity with LangChain, LangGraph, Semantic Kernel, or Haystack.
• Experience with Model Context Protocol (MCP), including MCP servers and clients.
• Experience with Azure OpenAI or other cloud-based LLM solutions.
• Experience with LLM evaluation, fine-tuning, or prompt engineering.
• Experience with Microsoft 365 Copilot or GitHub Copilot.
• Previous experience in the banking or financial services industry.

Generative AI & Agentic Development

• Contribute to the development of AI-powered applications, agents, and copilots.
• Learn and apply Generative AI, LLM, and agentic development technologies.
• Work with different AI and agentic tools to develop practical business solutions.
• Integrate LLM capabilities and AI agents into existing applications and workflows.
• Evaluate new AI technologies and identify opportunities to use them effectively.

Development

• Design, develop, and maintain scalable applications using Python.
• Review, evaluate, and refine AI-generated Java and React code - identifying quality issues, anti-patterns, and outright broken logic, and redirecting the approach when AI output is heading down the wrong path.
• Develop modern frontend applications and reliable backend services.
• Integrate new functionality into existing enterprise and banking applications.
• Work closely with developers, architects, DevOps, and infrastructure teams.

Azure & Cloud

• Develop and deploy solutions within the Azure ecosystem.
• Work with technologies such as Azure AI Services, Azure AI Foundry, and Kubernetes.
• Collaborate with DevOps and infrastructure teams on deployment, monitoring, scalability, and reliability.
• Follow enterprise standards for secure cloud development and deployment.