Design, build, and deploy cloud-native frontend and backend applications integrating Generative AI and LLMs. Develop APIs/microservices on AWS, implement data engineering with Databricks/PySpark, and use containerization and CI/CD for scalable, secure solutions. Collaborate with product and engineering teams and drive best practices in AI and cloud architecture.
This is a remote position.
Job Description:
We are seeking an experienced React / Python / AWS Engineer with strong AI expertise to design, develop, and deploy scalable cloud-native applications and intelligent solutions. The ideal candidate will have hands-on experience across frontend development, backend engineering, cloud platforms, and Generative AI technologies. In this role, you will be responsible for building end-to-end applications, integrating AI capabilities, developing APIs and microservices, and leveraging AWS services to deliver high-performance, secure, and scalable solutions. You will work closely with product managers, architects, data engineers, and business stakeholders to translate requirements into innovative technical solutions while driving best practices in software development, cloud architecture, and AI adoption. The successful candidate should be comfortable working in a fast-paced environment, taking ownership of technical decisions, and delivering impactful products that enhance business outcomes through modern engineering and AI-driven innovation.
Requirements
- Strong experience with React.js, TypeScript, JavaScript, HTML5, and CSS3
- Proficiency in Python development for backend services and API development
- Experience building and consuming RESTful APIs and GraphQL services
- Hands-on experience with AWS Cloud Services (Lambda, S3, API Gateway, ECS/EKS, Glue, Redshift, CloudWatch)
- Experience with Generative AI, Large Language Models (LLMs), and AI-powered applications
- Experience integrating OpenAI, Anthropic, Azure OpenAI, or similar AI platforms
- Knowledge of AI Agents, Prompt Engineering, Tool Calling, and Agentic Workflows
- Experience with Databricks, PySpark, Delta Lake, and Data Engineering concepts
- Strong understanding of Microservices Architecture and Event-Driven Systems
- Experience with Docker, Kubernetes, and CI/CD pipelines
- Proficiency with Git, GitHub/GitLab, and Agile/Scrum methodologies
- Experience designing, developing, and deploying cloud-native applications
- Strong problem-solving, debugging, and performance optimization skills
- Excellent communication and stakeholder collaboration skills
- Ability to work independently in a fast-paced remote environment with minimal supervision
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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
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- 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
