Agentic AI Developer building LLM applications, agentic workflows, and AI integrations at Osedea.
Collaborating with developers, AI specialists, designers, and clients on production software.
Responsibilities
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
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
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
Competitive Salary and contribution to your pension plan (RRSP)
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