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
Similar Jobs
5 Hours Ago
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The role involves leading partnerships with retail pharmacies for Pfizer, focusing on strategic negotiations, account management, and enhancing healthcare access through collaboration and planning.
5 Hours Ago
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The role involves leading strategic partnerships with retail pharmacies, executing negotiation frameworks, managing projects, and collaborating with various stakeholders to optimize healthcare outcomes and ensure compliance.
5 Hours Ago
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Senior Manager, Retail Pharmacy & Distribution Partnerships drives strategic partnerships with retail pharmacy chains and distributors, focusing on negotiation, governance, and collaboration to enhance healthcare access and utilization of Pfizer products.
What you need to know about the Ottawa Tech Scene
The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
