Build production-grade RAG and Graph RAG architectures * Develop enterprise-grade AI assistants ... Strong expertise in LLM systems engineering, prompt engineering, RAG, Graph RAG, agent ...
Build production-grade RAG and Graph RAG architectures * Develop enterprise-grade AI assistants ... Strong expertise in LLM systems engineering, prompt engineering, RAG, Graph RAG, agent ...
Build production-grade RAG and Graph RAG architectures. * Develop enterprise-grade AI assistants ... Collaborate with data scientists, AI engineers, platform teams, and business stakeholders to ...
Build production-grade RAG and Graph RAG architectures. * Develop enterprise-grade AI assistants ... Collaborate with data scientists, AI engineers, platform teams, and business stakeholders to ...
This role is focused on data engineering for Generative AI, RAG, document ingestion, vector search, knowledge graphs, and machine learning workflows, including data preparation, data quality, feature ...
This role is focused on data engineering for Generative AI, RAG, document ingestion, vector search, knowledge graphs, and machine learning workflows, including data preparation, data quality, feature ...
AI Engineer - Banking Domain
Montreal, QC · On-site
... AI Engineer to design and deliver production-grade machine learning and generative AI solutions ... Design LLM-based applications including RAG pipelines and document intelligence for internal ...
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AI Engineer - Banking Domain
Montreal, QC · On-site
... AI Engineer to design and deliver production-grade machine learning and generative AI solutions ... Design LLM-based applications including RAG pipelines and document intelligence for internal ...
... AI Engineer to design and deliver production-grade machine learning and generative AI solutions ... Design LLM-based applications including RAG pipelines and document intelligence for internal ...
... AI Engineer to design and deliver production-grade machine learning and generative AI solutions ... Design LLM-based applications including RAG pipelines and document intelligence for internal ...
Applied AI Engineer
Montreal, QC · On-site
Build RAG and agent-style orchestration for clinical reporting and conversational interfaces * Ship ... Engineering, or a related field, or equivalent hands-on experience * 4+ years shipping ML/AI ...
Applied AI Engineer
Montreal, QC · On-site
Build RAG and agent-style orchestration for clinical reporting and conversational interfaces * Ship ... Engineering, or a related field, or equivalent hands-on experience * 4+ years shipping ML/AI ...
Applied AI Engineer
Montreal, QC · On-site
Build RAG and agent-style orchestration for clinical reporting and conversational interfaces * Ship ... Engineering, or a related field, or equivalent hands-on experience * 4+ years shipping ML/AI ...
Quick apply
Applied AI Engineer
Montreal, QC · On-site
Build RAG and agent-style orchestration for clinical reporting and conversational interfaces * Ship ... Engineering, or a related field, or equivalent hands-on experience * 4+ years shipping ML/AI ...
RAG & Indexation: Oversee the creation and maintenance of Vector Databases and semantic search ... Experience: 5+ years in Data Engineering * Technical Stack: Proficiency in SQL, Python, ETL ...
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RAG & Indexation: Oversee the creation and maintenance of Vector Databases and semantic search ... Experience: 5+ years in Data Engineering * Technical Stack: Proficiency in SQL, Python, ETL ...
Concevoir des architectures IA robustes (RAG, extraction, classification, scoring, agents ... Exprience attendue : * 6+ ans en AI Engineering / ML Engineering / Data Engineering * Matrise ...
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Concevoir des architectures IA robustes (RAG, extraction, classification, scoring, agents ... Exprience attendue : * 6+ ans en AI Engineering / ML Engineering / Data Engineering * Matrise ...
Strong - Multiple RAG implementations * Frameworks (CrewAI, Semantic Kernel) The base compensation ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...
Strong - Multiple RAG implementations * Frameworks (CrewAI, Semantic Kernel) The base compensation ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...
Developpeur.se principal.e, Developpement d'applications IA - Senior AI Apps Dev
Montreal, QC · On-site
Lead the integration of AI models (LLMs, RAG systems, embeddings, agent frameworks). * Architect and maintain high-impact ML/agent pipelines and distributed services. * Enforce engineering excellence ...
Developpeur.se principal.e, Developpement d'applications IA - Senior AI Apps Dev
Montreal, QC · On-site
Lead the integration of AI models (LLMs, RAG systems, embeddings, agent frameworks). * Architect and maintain high-impact ML/agent pipelines and distributed services. * Enforce engineering excellence ...
This role sits at the intersection of quality engineering and artificial intelligence, requiring hands-on proficiency in LLM behavior analysis, RAG pipeline validation, and modern AI orchestration ...
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This role sits at the intersection of quality engineering and artificial intelligence, requiring hands-on proficiency in LLM behavior analysis, RAG pipeline validation, and modern AI orchestration ...
Senior Full-Stack Engineer
Montreal, QC · On-site
Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding ... Experience in DevOps, CI/CD pipelines, and secure release management. * Background in security ...
Senior Full-Stack Engineer
Montreal, QC · On-site
Implement RAG (Retrieval-Augmented Generation) use cases using vector databases and data embedding ... Experience in DevOps, CI/CD pipelines, and secure release management. * Background in security ...
This role sits at the intersection of quality engineering and artificial intelligence, requiring hands-on proficiency in LLM behavior analysis, RAG pipeline validation, and modern AI orchestration ...
This role sits at the intersection of quality engineering and artificial intelligence, requiring hands-on proficiency in LLM behavior analysis, RAG pipeline validation, and modern AI orchestration ...
Collaboration Role Overview As the Data Engineering Team Lead, you will be the technical lead and ... RAG & Indexation: Oversee the creation and maintenance of Vector Databases and semantic search ...
Quick apply
Collaboration Role Overview As the Data Engineering Team Lead, you will be the technical lead and ... RAG & Indexation: Oversee the creation and maintenance of Vector Databases and semantic search ...
Collaboration Role Overview As the Data Engineering Team Lead, you will be the technical lead and ... RAG & Indexation: Oversee the creation and maintenance of Vector Databases and semantic search ...
Quick apply
Collaboration Role Overview As the Data Engineering Team Lead, you will be the technical lead and ... RAG & Indexation: Oversee the creation and maintenance of Vector Databases and semantic search ...
Developpeur IA Python
Montreal, QC · On-site
Connaissance des concepts RAG, embeddings et recherche vectorielle. * Competences en prompt engineering (incluant optimisation et structuration des prompts). * Deploiement et integration cloud dans ...
Developpeur IA Python
Montreal, QC · On-site
Connaissance des concepts RAG, embeddings et recherche vectorielle. * Competences en prompt engineering (incluant optimisation et structuration des prompts). * Deploiement et integration cloud dans ...
Developpeur IA Python
Montreal, QC · On-site
Connaissance des concepts RAG, embeddings et recherche vectorielle. * Competences en prompt engineering (incluant optimisation et structuration des prompts). * Deploiement et integration cloud dans ...
Developpeur IA Python
Montreal, QC · On-site
Connaissance des concepts RAG, embeddings et recherche vectorielle. * Competences en prompt engineering (incluant optimisation et structuration des prompts). * Deploiement et integration cloud dans ...
Développeur.se principal.e, Développement d'applications IA - Senior AI Apps Dev
Montreal, QC · On-site
Lead the integration of AI models (LLMs, RAG systems, embeddings, agent frameworks). * Architect and maintain high-impact ML/agent pipelines and distributed services. * Enforce engineering excellence ...
Quick apply
Développeur.se principal.e, Développement d'applications IA - Senior AI Apps Dev
Montreal, QC · On-site
Lead the integration of AI models (LLMs, RAG systems, embeddings, agent frameworks). * Architect and maintain high-impact ML/agent pipelines and distributed services. * Enforce engineering excellence ...
ML Ops Developer
Montreal, QC · On-site
As an ML Ops Engineer on the team, you will be responsible for automating and simplifying machine ... chatbots (RAG, Generative AI, Conversational Agents) * Experience deploying systems that use NLP ...
ML Ops Developer
Montreal, QC · On-site
As an ML Ops Engineer on the team, you will be responsible for automating and simplifying machine ... chatbots (RAG, Generative AI, Conversational Agents) * Experience deploying systems that use NLP ...
Rag Engineer information
What is the difference between Rag Engineer vs Textile Technician?
| Aspect | Rag Engineer | Textile Technician |
|---|---|---|
| Required Credentials | Engineering degree, technical certifications | Diploma or degree in textiles or related field |
| Work Environment | Factories, manufacturing plants, R&D labs | Textile mills, production facilities, quality control labs |
| Industry Usage | Designing and improving rag production processes | Monitoring textile quality, testing fabrics |
While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

Other
Posted 18 days ago
Job description
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.
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 (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
Skills and Competencies:
- 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
- Experience working in specification-first, contract-driven, or Spec-Driven Development (SDD) environments is considered a strong asset
Education:
- Master's degree or Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or related field preferred
*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.
$$ Giesecke+Devrient ePayments Canada, Inc. is an equal opportunity employer and values diversity in its workforce, encouraging applications from all qualified individuals. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you would like to contact us, please contact Human Resources at careers.gdsci@gi-de.com
$$ $$ $$ $$ $$ https://career5.successfactors.eu/career?company=gieseckede&career_job_req_id=26937&career_ns=job_application