Design, build, and maintain production-ready full-stack applications combining React frontends with Java/Python backends. Integrate Generative and Agentic AI workflows, implement CI/CD, deploy cloud-native services on Kubernetes (GCP/Azure), manage relational and NoSQL databases, apply automated testing, observability, and troubleshoot production systems while collaborating across DevOps, QA, and Product teams.
NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.
We are looking for a Senior Full-Stack AI Agentic Engineer with a strong full-stack background combined with hands-on experience in Generative AI and Agentic AI systems. The ideal candidate will design, build, and deploy scalable, production-ready applications that integrate modern front-end frameworks, robust backend services, cloud-native infrastructure, and AI-driven automation.
Key Responsibilities
- Design, develop, and maintain full-stack applications using React and modern backend frameworks.
- Build and integrate AI-powered and Agentic AI solutions, including GenAI-based workflows and automation.
- Develop scalable backend services using Java (Spring Boot) and/or Python, ensuring high performance and reliability.
- Implement and maintain CI/CD pipelines to support automated testing, deployment, and monitoring.
- Design and deploy applications on cloud platforms (Kubernetes, Google Cloud, Azure), following cloud-native best practices.
- Work with multiple database technologies (relational and NoSQL) to support data-driven applications.
- Implement automated testing strategies using tools such as Playwright and Selenium.
- Monitor application performance and system health using observability and monitoring tools.
- Collaborate with DevOps, QA, and Product teams to ensure seamless delivery across environments.
- Troubleshoot production issues, perform root cause analysis, and drive continuous improvement.
- Contribute to technical documentation, architectural decisions, and best-practice guidelines.
Required Qualifications
- 5+ years of professional experience as a Full-Stack Engineer.
- Strong frontend experience with React and JavaScript.
- Backend expertise with Java, Spring Boot, Python, Groovy, and JUnit.
- Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, and Docker.
- Solid experience working with Kubernetes and cloud platforms (Google Cloud and/or Azure).
- Experience with databases including MongoDB, PostgreSQL, MySQL, and/or DB2.
- Proficiency with Linux environments and scripting using Bash.
- Experience with monitoring and deployment tools such as Spinnaker, Grafana, and Terraform.
- Experience implementing automation testing using Playwright and/or Selenium.
- Practical experience with Generative AI and Agentic AI concepts and implementations.
- Strong problem-solving skills and ability to work independently in complex environments.
- Comfortable working in English-speaking environments (B2 level or higher).
Additional Skills
- GenAI
We offer:
- Statutory & Major benefits
- Personal Growth
- Competitive salary
- Attractive benefits plan
Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.
Marina Molina
#LI-MM3
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
