About the role

Senior AI Systems Engineer executing hands-on AI projects for Orium. Building scalable workflows and systems to support human decision-making with AI.

Responsibilities

Partner in shaping the technical approach and architecture of agentic systems, helping translate evolving needs into practical, scalable solutions.
Design and implement agentic workflows that support two-way interaction between humans, agents, and internal systems.
Build and orchestrate workflow logic using tools and frameworks such as Zapier + code, n8n (or similar), APIs, and event-driven architectures.
Partner to integrate people-focused agentic workflows into a cohesive, reliable entry-point experience.
Bring a technical perspective to early-stage ideas and prototypes, helping assess feasibility, trade-offs, and paths to production.
Help evolve early implementations into more robust, maintainable, and production-ready systems.
Help establish and document patterns for reliability, observability, and safe failure in agentic workflows.
Ensure implementations align with defined trust models, escalation rules, and human-in-the-loop principles.
Work hands-on with LLMs, prompts, and agent behaviour to prioritize correctness, clarity, and human accountability.
Evaluate and integrate tools, frameworks, and platforms that support agentic patterns as the system matures.
Contribute to and document shared standards and patterns for AI-augmented systems at Orium.
Design and evolve retrieval and indexing approaches (e.g., RAG, structured knowledge sources) to ensure agents operate on accurate, relevant, and up-to-date context.

Experience building, integrating, or supporting AI / LLM-powered systems, with an emphasis on reliability, validation, and safe failure.
Proven experience taking systems from prototype to production, including defining architecture, managing trade-offs, and ensuring reliability at scale.
Strong experience building backend systems, workflows, or integrations, including APIs, event-driven systems, and automation frameworks.
Comfortable working with orchestration tools and workflow engines (e.g., Zapier + code, n8n, Temporal, Airflow, or similar), including extending platforms with custom logic where needed.
Experience designing or contributing to system architecture, particularly in integration-heavy or distributed systems.
Strong proficiency in JavaScript/Typescript, including building and deploying backend services, integrations, or extensions to support workflow and automation systems.
Comfortable taking ownership in ambiguous problem spaces, helping define the path forward rather than waiting for fully defined requirements.
Strong collaborator who enjoys building in partnership with product, domain, and systems owners.

Compensation: Contract rates are determined based on experience, engagement scope, duration, and time commitment.
Use of AI in Hiring: To keep the process efficient and focused on human connection, we use AI-enabled and automated tools for tasks like candidate communications and scheduling, interview note-taking, and summarizing feedback for hiring teams. Our recruiters and hiring managers review all information, and humans make every hiring decision.
Committed to an Inclusive Workplace: We are committed to fostering an inclusive and accessible environment as we build a workforce that reflects the diversity of the community in which we live, including those with disabilities. We are dedicated to providing accommodations in all parts of the hiring process in accordance with the Accessibility for Ontarians with Disabilities Act and the Ontario Human Rights Code. If you require any accommodation, we will work with you to meet your needs.
Committed to Social and Environmental Stewardship: Orium is committed to promoting and working towards a more socially and environmentally sustainable future. All individuals engaged by Orium are expected to make decisions and take actions in relation to their role and work that follow through on this commitment.