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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying AI agents and LLM-powered applications, with strong programming skills in Python and familiarity with cloud services. Capable of collaborating with multidisciplinary teams to translate client requirements into functional solutions while maintaining high code quality and performance.
Highest-signal resume keywords
Python ProgrammingLarge Language ModelsAI APIsCloud ServicesAgentic Frameworks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentBackend DevelopmentAPIsTool CallingContext ManagementRAGUnit TestingDebuggingVersion ControlCI/CD
Soft Skills
CollaborationIndependent LearningCommunication
Tools & Technologies
TypeScriptJavaScriptFrontend FrameworksGit
Industry Keywords
Agent OrchestrationWorkflow AutomationEmerging AI ModelsStructured OutputsEmbeddingsVector Search
Tech Stack
Tools & technologiesCloudJavaScriptPythonTypeScript
About the role
Key responsibilities & impact- Develop, test, and deploy AI agents and LLM-powered applications for client projects
- Build agentic workflows integrating language models, external APIs, tools, and business data
- Implement tool calling, structured outputs, context management, and retrieval-augmented generation (RAG)
- Contribute to agent orchestration, workflow automation, and integrations with existing software systems
- Write clean, maintainable, and well-tested code
- Evaluate agent behaviour, improve output quality, and troubleshoot reliability and performance issues
- Collaborate with senior developers on system design, architecture, and technical decisions
- Work with multidisciplinary teams to understand client requirements and translate them into functional solutions
- Explore emerging AI models, tools, and frameworks and share knowledge with the team
- Own assigned features from development through production
- Collaborate with experienced developers, AI specialists, designers, and clients to integrate AI agents into products and workflows
Requirements
What you’ll need- 3+ years of professional software development experience
- Hands-on experience developing applications using large language models, AI APIs, or agentic frameworks through professional projects or substantial independent work
- Strong programming skills in Python and familiarity with backend development, APIs, and software integrations
- Understanding of LLM concepts, prompt and context engineering, tool calling, and RAG
- Familiarity with version control, testing, code reviews, and CI/CD
- Experience working with cloud services or deploying applications to production
- Ability to learn independently and stay up-to-date in a fast-evolving technological landscape
- Ability to collaborate with people from different technical backgrounds
- Intermediate or conversational French (minimum)
- Proficiency with TypeScript or JavaScript and modern frontend frameworks
- Knowledge of agentic concepts including tool calling, orchestration, structured outputs, and context management
- Knowledge of basic RAG architectures, embeddings, and vector search
- Knowledge of unit testing, debugging, Git, and code review practices
- Knowledge of basic cloud deployment concepts and CI/CD workflows
Benefits
Comp & perks- Competitive Salary and contribution to your pension plan (RRSP)
- Flexible hours of work and choose how you work
- Work from anywhere up to 8 weeks
- Paid sabbatical
- Wellness and productivity spending account
- Parental program
- Activities
- Training