Generative AI Engineer

LanceSoft Europe

Warszawa

On-site

PLN 180,000 - 240,000

Full time

6 days ago
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Job summary

LanceSoft Europe in Warsaw, Poland is seeking an Applied AI Engineer – Global Banking & Markets to help build production-grade GenAI systems and intelligent automation for global banking operations. You will work on scalable LLM applications, MCP servers, tool integrations, and end-to-end AI frameworks, delivering robust code in a fast-paced engineering environment.

The role requires 5+ years of software or AI experience, strong Python, and hands-on cloud deployment across AWS/Azure/GCP for

Qualifications

  • 5+ years of software engineering or applied AI/ML.
  • Strong Python expertise.
  • Production GenAI/LLM/Agentic workflows experience.
  • Experience deploying MCP servers and tool integrations.
  • Cloud platforms experience (AWS/Azure/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

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

Tools

AWS
Azure
GCP

Job description

Applied AI Engineer – Global Banking & Markets

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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