Design, build, and deploy end-to-end AI-powered applications and agentic systems. Integrate LLMs and RAG/vector search, develop APIs and UIs, operationalize models, and own CI/CD, containerization, monitoring, and reliability. Mentor engineers, contribute to architecture, and partner with product and security teams to ensure scalable, secure AI production systems.
Full Stack & AI Application Development •Design and build end-to-end AI-powered applications using modern frontend and backend frameworks. •Integrate LLM and agentic AI components into user-facing and system-facing workflows. •Develop APIs and services that support agent orchestration, tool calling, and workflow execution. •Build intuitive UIs for AI-assisted workflows, human-in-the-loop interactions, and monitoring. Agentic AI & Production Systems. Work with ML/Data teams to operationalize models and agentic systems into production. Implement RAG pipelines, vector search integration, and AI inference layers. Handle model lifecycle concerns: versioning, configuration, evaluation hooks, and rollout strategies. Build safeguards, validations, and fallback mechanisms for AI-driven workflows. DevOps, Reliability & Scale Own CI/CD pipelines, containerization, and deployment of AI applications. Ensure systems meet performance, scalability, security, and reliability requirements. •Implement logging, monitoring, alerting, and cost visibility for AI and application components. •Collaborate with platform and security teams to ensure compliance and operational readiness. Architecture & Collaboration. Contribute to system and application architecture decisions for AI platforms. •Write clean, maintainable, well-tested code and review contributions from peers. •Mentor engineers and raise the bar on engineering and AI delivery practices. •Partner with product and business teams to translate requirements into technical solutions. •7+ years of hands-on experience as a Full Stack Engineer or Senior Software Engineer. •Strong proficiency in backend development Python. Strong experience with modern frontend frameworks React. •Hands-on experience integrating AI/ML or LLM-based services into applications. •Solid understanding of REST APIs, microservices, and distributed systems. Design and build end-to-end AI-powered applications using modern frontend and backend frameworks.
Similar Jobs
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Hunt and close net-new enterprise accounts across Alberta, building executive relationships and value-based business cases. Drive pipeline via prospecting, partners, and events; lead complex sales cycles with Sales Engineers and Customer Success to deliver observability, security, cloud modernization, and AI-driven outcomes.
Top Skills:
AiopsAWSAzureCloud MigrationCybersecurityDevOpsDynatraceGCPObservabilityPlatform Engineering
.png)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Design, deploy, and operate enterprise network infrastructure across data centers and cloud (GCP, AWS, Azure). Manage VPCs, VPNs, BGP, F5 BIG-IP, hybrid connectivity, and observability. Build IaC and automation with Terraform, GitLab CI/CD, and Ansible. Maintain monitoring, documentation, and participate in on-call support for critical incidents.
Top Skills:
AnsibleAWSAzureBgpCloud RouterCloudflareDnsF5 Big-IpFirewallsGCPGitlab Ci/CdHa VpnIp Address ManagementIpsec VpnLoad BalancingTerraformVpc
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead high-impact reliability projects to improve resiliency, scalability, and deployment safety for thousands of services. Build secure configuration and secrets systems, improve canary-based release systems, partner with critical teams to reduce operational toil, drive observability and reliability best practices, participate in on-call rotations, and communicate architecture decisions to stakeholders.
Top Skills:
AWSAzureDatadogGCPGenerative AiGoKibanaRubyTerraform
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
