Compensation: $, - , plus up to $20, bonus, capped at % Job Summary Giesecke+Devrient is a globally leading Security

Tech company.

We are seeking a highly technical and execution-focused Senior Applied AI Engineer to join G+Ds new AI Hub.

The ideal candidate will combine deep expertise in Generative AI systems engineering with strong Python software engineering capabilities and the ability to translate complex enterprise challenges into scalable AI solutions that deliver measurable impact.

This role is focused exclusively on Generative AI engineering and agentic systems, including single-agent and multi-agent architectures, RAG, Graph RAG, advanced evaluation frameworks, guardrails, and production observability.

Primary Responsibilities Own GenAI initiatives end-to-end from problem framing through production deployment and continuous monitoring Design, develop, and deploy single-agent and multi-agent systems Build production-grade RAG and Graph RAG architectures Develop enterprise-grade AI assistants, copilots, and workflow agents Design orchestration and handoff patterns across multi-agent workflows Implement hallucination mitigation and response validation strategies Build evaluation frameworks, guardrails, tracing, and production monitoring Other duties as assigned Qualifications,



Experience and Educational Requirements Work Experience: Three + years of hands-on experience in Generative AI engineering, LLM systems, or Applied AI since onward, with proven experience delivering production-grade GenAI solutions Five + years of prior experience in Python software engineering, backend engineering, platform engineering, or related software development roles Proven track record of building and deploying production systems, APIs, workflow orchestration services, or distributed applications prior to working in GenAI Skills and Competencies: Strong expertise in LLM systems engineering, prompt engineering, RAG, Graph RAG, agent orchestration, multi-agent systems, observability, hallucination mitigation, and MCP Solid Python software engineering skills Hands-on experience with Python, FastAPI / Flask, async workflows, APIs, testing frameworks, and CI/CD Hands-on experience with Lang

Chain, Lang

Graph, CrewAI, OpenAI APIs, vector and graph databases Experience working in specification-first, contract-driven, or Spec-Driven Development (SDD) environments is considered a strong asset Education: Masters degree or Bachelors degree in Computer Science, Software Engineering, Artificial Intelligence, or related field preferred

📌 Senior Applied AI Engineer (Montreal)
🏢 Giesecke+Devrient
📍 Montreal