AI Developer/Prompt Engineer architecting generative AI solutions for Levio, a digital transformation consultancy. Building cloud - native applications with AWS Bedrock, SageMaker, NLP, and LLM technologies.
About the role
- Développeur senior en IA agentique chez Osedea, concevant des systèmes intelligents pour des clients. Architecture, déploiement et amélioration de solutions IA prêtes pour la production.
Responsibilities
- Design, develop, and deploy AI agents, agentic platforms, and production-grade workflows for complex business challenges
- Architect systems combining agentic runtimes, LLMs, tool calls, external APIs, enterprise data, and existing applications
- Develop agent orchestration mechanisms for state management, context engineering, memory, and human-in-the-loop interactions
- Define and implement evaluation, testing, observability, and monitoring practices to ensure reliability, performance, cost control, and security
- Make architectural decisions that balance autonomy, predictability, scalability, cost, and maintainability
- Collaborate with clients and multidisciplinary teams to identify innovation opportunities, assess feasibility, and translate business needs into AI solutions
- Take ownership of technical delivery, from prototyping through deployment and continuous improvement
- Evaluate new models, frameworks, and development approaches
- Share knowledge, mentor colleagues, and contribute to the evolution of agentic AI development practices at Osedea
Requirements
- More than 5 years of professional experience in software architecture and development
- Hands-on experience developing agentic systems deployed in production
- Strong software development and architecture skills, including systems architecture, APIs, asynchronous processing, testing, and cloud deployment
- Ability to design end-to-end infrastructure, including storage, computing resources, identity management, and access policies
- Demonstrated experience designing and delivering AI-powered applications beyond the proof-of-concept stage
- Good understanding of agentic architectures, including tool use, orchestration, context management, and retrieval-augmented generation (RAG)
- Experience integrating agentic runtimes, agents, or LLMs with external services, internal systems, and existing enterprise data and infrastructure
- Ability to assess the quality and reliability of AI systems, diagnose complex behaviors, and make informed technical trade-offs
- Comfortable working with constantly evolving technologies, tools, standards, and best practices
- Builder mindset, strong architecture skills, and mastery of the core components of agentic engineering and their integration
- Excellent collaboration and communication skills, including the ability to navigate ambiguity, explain technical decisions to clients and colleagues, and demonstrate initiative
- Programming: Python and modern backend development practices
- LLM integration: OpenAI, Anthropic Claude, or Google Gemini APIs and SDKs
- Agent orchestration frameworks: Microsoft Agent Framework, LangGraph/LangChain, OpenAI Agents SDK, or equivalent solutions
- Agentic runtimes and plugin design: Codex, Claude Code, and Pi
- Protocols and standards: ACP, MCP, and Skills standards
- Context engineering and cache hit-rate optimization
- RAG, embeddings, vector search, graph search, and targeted retrieval mechanisms
- Function calling, API integrations, and external tool integration patterns
- Automated testing, agent evaluations, tracing, observability, and error handling
- AWS, Azure, or Google Cloud services, CI/CD, and production deployment
Benefits
- Competitive salary and contributions to your retirement savings plan (RRSP)
- Flexible schedule and freedom in how you work
- Opportunity to work from anywhere for up to 8 weeks per year
- Paid sabbatical leave
- Wellness and productivity spending account
- Parental program
- Events and activities
- Training and professional development
- And more…
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Forward Deployed AI Lead shaping Anthropic AI strategies and operating models for Caylent cloud - services clients. Directing FDE implementation, executive workshops, adoption roadmaps, and account expansion.
AI Engineer operating production AI agents and reliability tooling for an AI marketing platform serving dental practices. Debugging LLM failures, integrations, monitoring, and scheduling systems.
Développeur IA senior concevant des architectures backend et intégrant LLM, RAG et agents chez Mila. Livraison de plateformes GenAI fiables avec Python, FastAPI et systèmes distribués.
Customer Service Representative handling global customer inquiries across phone, email, and chat. Supporting WorkMatePro’s staffing clients with issue resolution, records, sales follow - up, and CRM updates.
Senior Agentic AI Developer building reliable agentic AI systems for Osedea, a Montreal tech development firm. Designing production architectures, integrations, evaluations, and workflows for clients.
Senior AI/ML software engineer developing AI strategy and scalable machine - learning components. Building FHIR - based healthcare data solutions for global health stakeholders at Smile Digital Health.
Applied AI Engineer improving Velixo Intelligence, an Excel - native ERP reporting and automation platform. Building LLM evaluations, observability, and cost optimizations for governed financial - system actions.
CAD Engineer training and evaluating AI agents in real CAD environments. Designing engineering geometry and reference solutions for a global technology platform.
CFD Engineer training and evaluating AI agents on expert - level fluid simulations. Building verified solutions and Python checks for a global technology platform.