Top AI Jobs in Calgary

As a Staff Software Engineer, you'll design and deliver a core data platform, focusing on architecture, pipeline components, and AI integration. This hands-on role emphasizes creating production code and establishing technical standards within a small team.

Lead development and scaling of a customer-facing Agentic AI platform using LLMs and agents. Define roadmap, prompt strategies, evaluation frameworks, guardrails, and experiments to improve automation, accuracy, and customer satisfaction while partnering with engineering and OpenAI.

Lead consolidation and strategy for the company's AI platform: migrate distributed prompts to a unified system, prioritize chatbot work, drive architecture and API decisions, own the OpenAI relationship and ChatGPT App presence, evaluate emerging technologies (voicebot, computer capabilities), and coordinate engineering, data, and operations to deliver production-grade AI features.

Lead consolidation and technical strategy for Jerry.ai's AI platform. Own prompt migration, chatbot prioritization, vendor relationships (e.g., OpenAI/ChatGPT), and platform architecture. Coordinate engineering, data, and operations, drive execution, evaluate emerging voice/computer capabilities, and ensure the platform remains reliable while evolving to support scalable, production-grade AI agent products.

Lead development and scaling of Jerry.ai's customer-facing AI agent platform. Own roadmap, prompt strategies, evaluation frameworks, guardrails, and experimentation to improve automation, quality, and customer satisfaction. Translate between engineering and business, partner with OpenAI on voice/workflow models, and establish platform standards for production-grade AI systems.

Lead end-to-end development and scaling of Jerry.ai's agentic AI platform and customer experiences. Define roadmap, partner with engineering on prompts, evaluation frameworks, guardrails, and APIs. Drive experiments to improve automation, answer quality, and customer satisfaction while integrating next-gen voice models and partnering with vendors like OpenAI.

Lead end-to-end development and scaling of Jerry.ai's AI agent platform, unifying LLMs, prompt strategies, human-in-the-loop workflows, and APIs to increase automation and customer satisfaction. Partner with engineering, product, and OpenAI to design evaluation frameworks, guardrails, and rollouts; run experiments to improve quality, latency, cost, and automation rates.

Lead development and scaling of an AI agent platform integrating LLMs, agents, and internal APIs. Define roadmaps, prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and OpenAI to improve automation, answer quality, and customer experience through experimentation and production deployments.

Sell AI-powered solutions to automotive dealerships in the Maritimes. Own the full sales cycle—prospecting, discovery, demo, negotiation, and close—build relationships with dealer leadership, present ROI-focused demos and proposals, maintain pipeline, forecast accurately, and consistently meet revenue targets.

Lead end-to-end development and scaling of Jerry.ai's customer-facing Agentic AI platform. Define roadmap, partner with engineering on prompt strategies, evaluation frameworks, and guardrails, drive experimentation to improve automation rates and quality, and coordinate with partners (e.g., OpenAI) to deploy new model and voice capabilities.

Lead development and consolidation of Jerry.ai's AI agent platform, owning roadmap to rollout. Design prompt strategies, evaluation frameworks, guardrails, and API/system architecture. Partner with engineers and OpenAI to deploy voice and workflow automation, drive experiments to improve automation rates, accuracy, and customer satisfaction, and establish AI best practices across the org.

Lead development and scaling of a customer-facing agentic AI platform using LLMs and agents. Define prompt strategies, evaluation frameworks, and guardrails; translate technical architecture to stakeholders; run experiments to improve automation, answer quality, and customer satisfaction; and partner with OpenAI on voice and workflow model integrations.

Lead the end-to-end development and scaling of Jerry.ai's AI agent platform. Own roadmap, partner with engineering on prompt strategies, evaluation frameworks, and guardrails. Drive experiments to improve answer quality, automation rates, and customer satisfaction. Serve as technical translator, establish AI best practices, and work with partners like OpenAI to deploy voice models and workflow automation.

Own and evolve Jerry.ai's AI platform: consolidate prompts from six locations onto a unified system, prioritize chatbot technical work, drive architecture and emerging-technology decisions (voice/computer use), manage the OpenAI relationship, and coordinate cross-functional teams to deliver scalable production-grade AI features while keeping current systems running.

Lead consolidation and strategic direction of Jerry.ai's AI platform, unifying prompt assets, prioritizing chatbot technical work, managing vendor relationships (e.g., OpenAI), and coordinating engineering, data, and operations to deliver scalable, production-grade agentic AI products and platform architecture.

Lead end-to-end development and scaling of an agentic AI platform that automates customer sales and service. Define prompt strategies, evaluation frameworks, guardrails, and API/system architecture; partner with engineering and OpenAI; run experiments to improve automation rates, answer quality, and customer satisfaction; translate technical work across the organization.

Own and automate the end-to-end ML lifecycle: build, deploy, monitor, test, and retire models at scale. Design production-grade, highly available ML infrastructure and CI/CD pipelines, implement governance, and collaborate with engineering and security teams.

Design and run automation-driven, AI-agent-assisted attack campaigns and red-team simulations against Wealthsimple products and infrastructure; build and improve automated testing pipelines, AI agents, and tooling; triage AI-generated findings into high-signal vulnerabilities; collaborate with platform engineers and AppSec to integrate adversarial testing into the SDLC and support remediation.

Build, operate, and scale cloud-native backend services and APIs for a high-volume vehicle marketplace. Embed AI-driven capabilities into features, use AI tools to accelerate development, participate in on-call rotations, improve reliability, and collaborate with Product, Data, Infrastructure, and SRE teams to deliver production-ready systems.

As a Software Application Developer, you will design, build, and support secure applications, using Java and Spring Boot, with a focus on integrating AI and cloud technologies. Full SDLC involvement and collaboration with cross-functional teams is essential.

Own and evolve Directive's web surfaces for Stratos and company sites: build campaign and reporting UIs, integrate ad/CRM APIs, manage background jobs, containers, CI/CD, databases, telemetry, auth, and LLM integrations; stabilize inherited code and ship production features iteratively.

The role involves designing and integrating intelligent translation workflows using machine translation, generative AI, and prompt engineering, ensuring compliance and performance optimization.

Own full sales and partnership cycle to bring voice AI to mobile service robots: engage senior robotics decision-makers, qualify and prioritize opportunities, close deals, and shape the commercial playbook while operating autonomously within a small technical team.

Lead technical engagements with robotics customers to design and integrate voice AI into mobile robots, own POCs and technical evaluations, clear deployment roadblocks, collaborate with sales/product/services, and feed customer learnings into the product. Travel across Europe for onsite evaluations (20–30%).

Early-career full‑stack developer role building production-grade web applications and AI-enabled products for the energy industry. Own end-to-end delivery with stakeholders: define problems, design, develop, test, deploy, and monitor. Integrate generative AI and agentic systems, work with databases and cloud data platforms, and grow through mentorship, code reviews, and paired development in an in-office Calgary team.