Senior AI Application Engineer
Location: Woodbridge, ON (Hybrid - 3 days onsite per week)
Physical Presence: Hybrid - 3 days per week in office
Contract: June 29, 2026 to December 31, 2026
Rate: 80-95/h Corp to corp
We are currently seeking a Senior AI Application Engineer to join a high-impact technology team focused on delivering enterprise-grade AI solutions. This role is ideal for a hands-on engineer with expertise in Large Language Models (LLMs), multi-agent systems, full stack development, and AI governance.
Key Responsibilities
- Design, build, and maintain end-to-end AI-powered applications across frontend, backend, and AI/LLM integrations, including multi-agent orchestration patterns.
- Develop user-facing solutions such as copilots, conversational interfaces, intelligent search capabilities, and workflow automation tools.
- Build AI-powered integrations and extensions for enterprise SaaS platforms including Salesforce, Workday, and ServiceNow.
- Design and implement guardrails, output validation, monitoring, and fallback mechanisms to manage non-deterministic AI behavior.
- Develop evaluation frameworks and testing strategies for AI systems using automated and human-in-the-loop validation approaches.
- Collaborate with Data Engineering, Machine Learning, Security, Architecture, QA, and Operations teams to deliver reliable AI-enabled solutions.
- Participate in architecture reviews, security assessments, and threat modeling activities related to AI implementations.
- Contribute to AI engineering standards, reusable frameworks, governance practices, and development patterns.
Required Skills & Experience
- 5+ years of experience building modern full stack applications.
- Strong development experience with Java and/or Node.js and working knowledge of Python.
- Experience with React, Next.js, REST APIs, and modern web application development.
- Hands-on experience integrating LLMs and AI/ML services into production applications.
- Expertise in prompt engineering, Retrieval Augmented Generation (RAG), agent orchestration, and tool integration.
- Experience designing and managing non-deterministic systems, including validation frameworks, confidence scoring, and graceful degradation strategies.
- Knowledge of AI security practices including OWASP principles, threat modeling, prompt injection mitigation, and data protection.
- Experience implementing AI observability, monitoring, logging, drift detection, and performance tracking.
- Experience integrating enterprise platforms such as Salesforce, Workday, and ServiceNow.
- Cloud-native development experience with AWS, OpenShift/Kubernetes, CI/CD pipelines, and HashiCorp Vault.
- Experience building or integrating agent frameworks and evaluation harnesses.
- Strong understanding of software engineering best practices, SDLC governance, and enterprise delivery standards.
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.
Nice to Have
- Experience with multi-agent architectures and inter-agent communication patterns.
- Deep expertise in RAG architectures, embeddings, vector databases, and semantic search.
- Experience implementing responsible AI practices, including bias detection, content filtering, and PII management.
- Experience extending enterprise SaaS platforms through APIs, SDKs, or integration frameworks.
- Experience with AWS AgentCore and large-scale AI agent deployment.
- Experience working within formal governance frameworks involving change management and CAB approvals.
- Demonstrated contributions to engineering standards, reusable libraries, mentorship, or technology adoption initiatives.
If you are passionate about building secure, scalable, and innovative AI solutions that deliver real business value, we'd love to hear from you.
Please send your resume and reference "Senior AI Application Engineer" in the subject line.
