Generative AI Engineer

LanceSoft Europe

Warszawa

On-site

PLN 180,000 - 280,000

Full time

2 days ago
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Job summary

LanceSoft Europe is hiring a software/AI engineer in Warsaw to build scalable GenAI systems, MCP integrations, and agentic workflows for banking automation. You will ship production-grade code and contribute to end-to-end AI framework development, with a focus on scalable, reliable deployments.

The role requires 5+ years in software or AI/ML, strong Python, and hands-on experience with GenAI/LLM workflows and MCP servers, plus cloud platform expertise.

Qualifications

  • 5+ years in software engineering or applied AI/ML.
  • Strong hands-on Python expertise (Java/C++ is a plus).
  • Proven experience shipping production GenAI / LLM / Agentic workflows.
  • Practical experience deploying MCP servers and tool integrations.
  • Solid experience with Cloud platforms (AWS, Azure, or GCP).

Responsibilities

  • Develop and deploy scalable LLM applications and autonomous agentic workflows.
  • Build, deploy, and integrate MCP servers and tool cartridges.
  • Deliver clean, production-ready code and robust AI frameworks end-to-end.

Skills

Python
GenAI/LLM workflows
MCP servers
Cloud platforms
5+ years experience

Tools

AWS/Azure/GCP

Job description

Location: Warsaw, Poland | Type: 12 Months UOP Contract (Immediate to 1-month notice)

Overview

Join a high-impact engineering pod to build production-grade GenAI systems, MCP integrations, and agentic workflows for global banking automation.

Key Responsibilities
  • Develop and deploy scalable LLM applications and autonomous agentic workflows.
  • Build, deploy, and integrate MCP (Model Context Protocol) servers and tool cartridges.
  • Deliver clean, production-ready code and robust AI frameworks end-to-end.
Requirements
  • 5+ years in software engineering or applied AI/ML.
  • Strong hands-on Python expertise (Java/C++ is a plus)
  • Proven experience shipping production GenAI / LLM / Agentic workflows (not just PoCs)
  • Practical experience deploying MCP servers and tool integrations
  • Solid experience with Cloud platforms (AWS, Azure, or GCP)
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