Job Description

Compensation: $115,000-135,000 with $15k bonus at target

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

The ideal candidate will combine hands-on experience in Generative AI systems engineering with strong Python software engineering capabilities and the ability to translate enterprise challenges into practical AI solutions that deliver measurable impact.

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

Primary Responsibilities

• Support GenAI initiatives from problem framing through production deployment and continuous improvement.
• 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.
• Implement orchestration and handoff patterns across agentic workflows.
• Implement hallucination mitigation and response validation strategies.
• Build and maintain evaluation frameworks, guardrails, tracing, and production monitoring.
• Collaborate with data scientists, AI engineers, platform teams, and business stakeholders to deliver scalable AI solutions.
• Contribute to reusable components, engineering patterns, and technical standards for the AI Hub.
• Other duties as assigned.

Qualifications, Experience and Educational Requirements

Work Experience:

• Two (2)+ years of hands-on experience in Generative AI engineering, LLM systems, or Applied AI, with experience building GenAI solutions.
• Three (3)+ years of experience in Python software engineering, backend engineering, platform engineering, or related software development roles.
• Experience building and deploying software systems, APIs, workflow orchestration services, or distributed applications.
• Experience contributing to production-grade systems is preferred.

Skills and Competencies:

• Strong practical knowledge of LLM systems, prompt engineering, RAG, agent orchestration, 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 tools such as LangChain, LangGraph, CrewAI, OpenAI APIs, vector databases, and graph databases.
• Ability to work with technical specifications, architecture patterns, and engineering standards.
• Experience working in specification-first, contract-driven, or Spec-Driven Development environments is considered an asset.
• Strong problem-solving skills and ability to work in a fast-moving, delivery-focused environment.

Education:

• Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field preferred.
• Master’s degree is considered an asset.

Additional Information

*This job description is not intended to be all inclusive. The candidate hired will also perform other reasonable related business duties as assigned by the supervisor. The company reserves the right to revise or change job duties as needed. This job description does not constitute a written or implied contract of employment.

By applying to this position you are confirming you possess either a Canadian citizenship, permanent resident status or valid work permit.

Please note: Reference Checks and Credit, Criminal Background Checks will be administered on suitably qualified candidates. Your application will be kept on file for up to two years.

$$ Giesecke+Devrient ePayments Canada, Inc. is an equal opportunity employer and values diversity in its workforce, encouraging applications from all qualified individuals. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you would like to contact us, please contact Human Resources at careers.gdsci@gi-de.com

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