Generative AI Engineer (Python and Angular)
- Mississauga, ON, Canada
Salary: CAD 90k-105k/annum · Full-time
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Job details
- Pay
- Salary: CAD 90k-105k/annum
- Job type
- Full-time
- Apply by
- Experience
- Experience: 5-8 Years
- Posting language
- English
- Posted
Original job description
Job Title - Gen AI Engineer
Location: Mississauga-Ontario-CA
Experience: 5-8 Years
Salary: CAD 90k-105k/annum
Mandatory Skills : Prompt Engineering, Prompt Engineering & RAG, Python AI, Vector Databases and Embedding
Good to Have Skills : Angular, AWS AI Services, Azure Cloud Services, GCP AI Services, HTML/HTML5, React
Job Summary:
- We are seeking a highly skilled Full Stack Developer with strong expertise in Python and Angular to build and support modern cloud native applications The ideal candidate should be comfortable working across both frontend and backend layers and possess hands on experience with containerized deployments and cloud native platforms
- Experience with Generative AI solutions Agent Frameworks RAG architectures and Model Context Protocol MCP implementations will be a significant advantage.
Key Responsibilities:
- Design develop and maintain scalable backend services using Python 312
- Build responsive and user friendly web applications using Angular
- Develop and integrate REST APIs and microservices
- Work on application deployment configuration and monitoring in containerized environments
- Collaborate with architects product owners and cross functional teams to deliver high quality solutions
- Participate in code reviews troubleshooting and performance optimization
- Contribute to CICD automation and DevOps best practices
- Support backend development and platform enhancements with minimal supervision.
Mandatory Technical Skills:
- Backend Development
- Strong experience with Python 312 or later
Expertise in:
- Fast API
- REST API Development
- Microservices Architecture
- Async programming concepts
- Experience with Dynaconf for configuration management
- Frontend Development
- Strong working experience with Angular
- TypeScript HTML5 CSS3
- API integration and state management
- Cloud DevOps
Hands-on experience in
- CICD Pipelines
- Containerization using Docker
- Kubernetes deployments and management
- Experience with at least one of
- AWS
- OpenShift
- Deployment Operations
- Containerized application deployment
- Monitoring and troubleshooting production environments
- Configuration and release management
- Preferred Good to Have Skills
- AI Generative AI
- Experience in one or more of the following areas
- Agent Development Kit ADK
- Fast MCP
- Model Context Protocol MCP
- Retrieval Augmented Generation RAG
- LLM integrations and orchestration frameworks
- AI agents and workflow automation
- Prompt engineering and evaluation frameworks
Additional Skills
- PostgreSQL MongoDB
- Redis or Vector Databases
- Git GitHub Azure DevOps
- Event driven architectures
- Unit testing and automated testing frameworks
Required Qualifications
- Bachelors or Masters degree in Computer Science Engineering or related field
- Strong understanding of software engineering principles and design patterns
- Experience working in Agile Scrum environments
- Excellent communication and collaboration skills
“We are an equal opportunity employer. It is our policy to provide employment, compensation, and other benefits related to employment without regard to race, color, religion, sex, gender, national or ethnic origin, disability, veteran status, age, genetic information, citizenship, or any other basis prohibited by applicable federal, state, or local law.”
More about this job
Responsibilities
Develop and maintain scalable Python backend services, Angular applications, REST APIs, and microservices. Support containerized cloud deployments, monitoring, CI/CD, performance optimization, and platform enhancements while collaborating with cross-functional teams.
Requirements
Requires 5–8 years of experience, strong Python and Angular skills, and hands-on knowledge of APIs, microservices, containerization, Kubernetes, and CI/CD. A bachelor's or master's degree in computer science, engineering, or a related field is required; experience with generative AI, RAG, agent frameworks, and cloud services is advantageous.
Skills
- Prompt Engineering
- Retrieval-Augmented Generation
- Python
- Vector Databases
- Embeddings
- FastAPI
- Angular
- TypeScript
- REST APIs
- Microservices
- Docker
- Kubernetes
- CI/CD
- AWS
- Model Context Protocol
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
Keywords
- Python
- Angular
- TypeScript
- FastAPI
- REST APIs
- Microservices
- Asynchronous Programming
- Dynaconf
- HTML5
- CSS3
- Docker
- Kubernetes
- CI/CD
- AWS
- OpenShift
- Generative AI
- Prompt Engineering
- Retrieval-Augmented Generation
- Vector Databases
- Embeddings
- Model Context Protocol
- Agent Development Kit
- LLM Integration
- PostgreSQL
- MongoDB
- Redis
- Git
- Azure DevOps
- Agile Scrum
- Event-Driven Architecture