Senior Applied AI Engineer

Giesecke+Devrient • Montreal, QC

39d

About The Position

Giesecke+Devrient is a globally leading SecurityTech company. We are seeking a highly technical and execution-focused Senior Applied AI Engineer to join G+D’s 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.

Requirements

• Three (3)+ years of hands-on experience in Generative AI engineering, LLM systems, or Applied AI since 2022 onward, with proven experience delivering production-grade GenAI solutions
• Five (5)+ 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
• Strong expertise in LLM systems engineering, prompt engineering, RAG, Graph RAG, agent orchestration, multi-agent systems, observability, hallucination mitigation, and MCP
• Strong Python software engineering skills
• Hands-on experience with Python, FastAPI / Flask, async workflows, APIs, testing frameworks, and CI/CD
• Hands-on experience with LangChain, LangGraph, CrewAI, OpenAI APIs, vector and graph databases
• Master’s degree or Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field preferred

Nice To Haves

• Experience working in specification-first, contract-driven, or Spec-Driven Development (SDD) environments is considered a strong asset

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level