1

Full Stack Ai Engineer Jobs in Calgary, AB (NOW HIRING)

Deep knowledge in Databricks tech stack for AI and data engineering is a plus. · At E Source, you'll work alongside people who are thoughtful, curious, and deeply knowledgeable about utility and ...

Your day-to-day work spans the full stack: TypeScript on both the backend (Node.js) and frontend ... Collaborate daily with a product manager and data scientist to shape how AI-driven insights are ...

Is confident and competent across the full stack and can work on features of any size in multiple ... Experience with AI implementation, machine learning libraries, or working with AI APIs Advanced ...

Software Engineer

Calgary, AB · On-site

CA$125K - CA$145K/yr

Serve as a senior full-stack technical contributor across frontend, backend, database, and cloud ... Contribute to AI-enabled product capabilities, including Retrieval-Augmented Generation (RAG ...

Senior Software Developer (Remote)

Calgary, AB · Remote

CA$110K - CA$145K/yr

Drive AI Fluency & Innovation: Evaluate and integrate emerging technologies,including AI-assisted ... Full-Stack Programming Polyglot: Advanced proficiency in modern languages like Python and ...

Promise Robotics is pioneering Physical AI for homebuilding - a rapidly growing, venture-backed ... Work alongside other Software Developers to develop full-stack software solutions built for ...

Strong knowledge of Azure AI Services, Logic Apps, and AI Builder, custom plug-in. Strong software engineering background - C#.net/Full-Stack development Exposure to Power Pages and its customization ...

Machine Learning Engineer

Calgary, AB · Hybrid

CA$129K - CA$174K/yr

... full stack developers across a variety of projects What you may have: * Hands-on experience in ... In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our ...

Showing results 41-60

Full Stack Ai Engineer information

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.
What are popular job titles related to Full Stack Ai Engineer jobs in Calgary, AB? For Full Stack Ai Engineer jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Full Stack Ai Engineer jobs in Calgary, AB look for? The top searched job categories for Full Stack Ai Engineer jobs in Calgary, AB are:
Infographic showing various Full Stack Ai Engineer job openings in Calgary, AB as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Lead AI Application Engineer (Global Security)

Royal Bank of Canada

Calgary, AB • On-site

Full-time

Posted 28 days ago


Job description

Job Description

What is the Opportunity?

As the Senior Lead AI Application Engineer, you will lead multi-agentic application software engineering and full-stack delivery of secure, cloud native microservices that embed pragmatic AI. You will build production UIs and APIs that orchestrate agent workflows end to end, integrate seamlessly with RBC's CI/CD, observability, and security pipelines, and operate reliably in regulated environments. Leveraging LLMs, data pipelines, and GPU/multi cloud stacks, you will deliver resilient, scalable services that automate complex risk and security controls, accelerate regulatory readiness, and enable safe, auditable AI behaviors. You will set standards, build reusable components, and mentor engineers across platforms and product teams.

What will you do?

  • Design, build, and operate fullstack agentic applications: React/TypeScript frontends and secure backend services (Node.js/Express or Python/FastAPI or Java/Spring Boot) exposing REST/gRPC/GraphQL APIs; deliver UIs and APIs that orchestrate agent workflows endtoend.
  • Engineer multiagent systems (plan/act/reflect, tool use, delegation) with robust state and coordination across services; implement failure handling, retries, and idempotency using frameworks such as LangGraph or AutoGen.
  • Deliver CI/CD and platform automation: Docker images, GitHub Actions/Jenkins/Argo CD, IaC (Terraform/Helm), Kubernetes deployments, release/rollback and changecontrol aligned to RBC standards.
  • Implement context and data layers for agents: connectors (incl. MCP) to enterprise systems, streaming/eventing (Kafka), caching (Redis), vector search (pgvector/Milvus/Pinecone), and schema/PII controls to keep actions grounded and compliant.
  • Build reusable SDKs, APIs, and templates for agent capabilities (inference, tools, RAG) with clear interfaces, code samples, and internal packages to accelerate teams.
  • Establish runtime controls and observability: OpenTelemetry traces/metrics/logs, Grafana/Prometheus dashboards, feature flags, rate limits/quotas, circuit breakers, and SLOs for latency, quality, and cost.
  • Enforce DevSecOps and zerotrust patterns: OAuth2/OIDC, mTLS, secrets (Vault/KMS), SAST/DAST, threat modeling; ensure privacy, data residency, and compliant deployments (NIST, SOX/ITGC) across AWS/Azure/onprem GPU.
  • Partner across Security, Risk, and Platform; mentor engineers; influence reference architectures, standards, and documentation; drive design reviews for agentic services.

What do you need to succeed?

Must Have

  • Bachelors degree in Software Engineering, Computer Science or equivalent practical experience.
  • 5+ years building production fullstack systems: React/TypeScript; backend with Node.js/Express, Java/Spring Boot, or Python/FastAPI; strong API design (REST/gRPC/GraphQL) and eventdriven patterns.
  • Handson multiagent engineering: interagent communication, shared state, tool adapters, orchestration with LangGraph/CrewAI/AutoGen; RAG pipelines; vector DBs (pgvector/Milvus/Pinecone/FAISS); MCPbased secure connectors.
  • Cloudnative delivery on Kubernetes with CI/CD (Docker, GitHub Actions/Jenkins/Argo CD), automated testing (unit/integration/contract/E2E), and IaC (Terraform/Helm); experience with API gateways (Apigee/Kong) and service mesh (Istio/Linkerd).
  • Data and integration: SQL (Snowflake/Postgres), NoSQL (MongoDB), streams (Kafka), caching (Redis); integrating with enterprise systems (ServiceNow IRM/GRC) using resilient, secure patterns.
  • DevSecOps and observability: OAuth2/OIDC, mTLS, Vault/KMS, SAST/DAST; OpenTelemetry, Grafana/Prometheus; operating in regulated environments with NIST/SOX/ITGC controls.

Nice to Have

  • Advanced LLM operations: finetuning (LoRA/PEFT), alignment (RLHF/DPO), optimization (DeepSpeed), model serving (Triton/ONNX), and policy/guardrail engines. Distributed systems scaleout: Ray/SageMaker, backpressure and retry strategies, multiregion/DR, and dualcloud/hybrid operations.
  • Security and zerotrust depth: service mesh/mTLS, WAF, secrets rotation, key management, and advanced SAST/DAST/IAST.
  • Quantitative evaluation and product analytics: statistics for A/B tests and offline evals, human feedback loops, cost/latency optimization, and data governance best practices.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • Leaders who support your development through coaching and managing opportunities
  • Ability to make a difference and lasting impact
  • Work in a dynamic, collaborative, progressive, and high-performing team
  • Flexible work/life balance options
  • Opportunities to do challenging innovation work and potential for patentable solutions
  • Opportunities to take on progressively greater accountabilities

Job Skills

Agentic AI, Agentic AI, Agentic Context Engineering, AI Agent Security, API Design, Application Development, Application Integrations, Application Maintenance, Application Programming Interface (API), Applications Architecture, Artificial Intelligence (AI), AWS Cloud Computing, Collaboration, Containerization, Cybersecurity, Data Security, Design, Detail-Oriented, DevOps, DevSecOps, Docker (Software), Docker Container, Docker Kubernetes Architecture, End-to-End Testing, Enterprise Application Delivery {+ 18 more}

Additional Job Details

Address:

16 YORK ST:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-10

Application Deadline:

2026-08-24

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME