This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Applied AI Engineer based in Canada. This is a high-impact engineering role focused on building and scaling an agentic AI platform that transforms a mature enterprise SaaS system into an AI-native system of intelligence and action. You will work at the intersection of LLM orchestration, distributed systems, and cloud infrastructure, designing production-grade AI workflows used in real-world safety and risk management contexts. The role involves hands-on ownership of backend AI architecture, from stateful agent orchestration to secure, scalable AWS deployments. You will build systems that combine retrieval, reasoning, and automation across large-scale enterprise datasets. This is a deeply technical, developer-first environment where clean architecture and production reliability are essential. You will collaborate closely with product and engineering teams to bring complex AI capabilities into real operational use. \n

Accountabilities: In this role, you will be responsible for designing, building, and scaling the core AI platform and its supporting infrastructure, ensuring reliability, security, and performance at enterprise scale. Architect and implement agentic AI systems using state machines and orchestration frameworks (e.g., LangGraph/LangChain) to enable autonomous workflows and decision-making loops. Design and deploy scalable, serverless AI pipelines on AWS for ingestion, processing, and real-time inference across large datasets. Build and optimize RAG systems using vector databases and hybrid search architectures to support high-quality semantic retrieval at scale. Develop secure MCP-based integrations to expose legacy systems and APIs as agent-accessible tools with strong access control and isolation. Implement LLM routing, observability, and cost-control mechanisms including telemetry, caching, and token usage tracking. Design generative UI APIs that dynamically render structured outputs into frontend components for interactive AI-driven experiences. Ensure robust security, multi-tenancy isolation, and compliance through encryption, IAM policies, and secure authentication patterns. Requirements: The ideal candidate brings strong backend engineering expertise with proven experience delivering production-grade AI systems in cloud-native environments. 5+ years of software engineering experience, including at least 2+ years building and deploying production AI features in SaaS platforms. Expert-level proficiency in Python, with strong experience in TypeScript/JavaScript preferred. Hands-on experience with LLM orchestration frameworks such as LangGraph, LangChain, or equivalent tools. Strong AWS expertise (e.g., Lambda, ECS Fargate, S3, SQS, EventBridge, Bedrock, IAM, KMS). Proven experience building RAG pipelines, vector search systems, and large-scale document indexing architectures. Strong understanding of system design, multi-tenancy, authentication (OAuth2/JWT), and secure cloud architecture. Experience with data processing tools such as Pandas, NumPy, and document parsing/OCR pipelines. Excellent communication skills and ability to work effectively in agile, cross-functional engineering teams. Nice to have: experience with ML models for anomaly detection, React-based UI systems, MCP ecosystems, or EHS/ESG domains. Benefits: Annual base salary range of CA$144,000–165,000 Annual bonus opportunity of up to 10% Comprehensive healthcare coverage including medical, dental, and vision Retirement savings plan with company match and immediate vesting Paid time off, holidays, and flexible spending accounts Company-funded life insurance and employee assistance programs No-cost mental health support benefits Inclusive, flexible, and remote-friendly work environment.

\n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1