Full Stack Engineer (AI-Enabled)

2 hours ago

Calgary, CanadaSenior

Base Salary

$70k - $150k/yr

Responsibilities

Build and enhance core banking and client onboarding platforms.
Design APIs, backend services, microservices, frontend applications, integrations, and orchestration layers for complex workflows.
Deliver end-to-end features from design through production support and translate business requirements into scalable technical solutions.
Develop LLM-powered capabilities using prompt design, structured outputs, tool calling, error handling, and production safeguards.
Implement and optimize RAG pipelines involving chunking, embeddings, vector search, and grounding responses in source documents.
Establish validation and evaluation practices for AI output quality and regression detection.
Apply input validation, PII handling, prompt-injection mitigation, security controls, and human-in-the-loop review.
Contribute to API-first design, cloud adoption, event-driven architecture, quality practices, CI/CD, and observability.
Manage model-related cost and latency and identify opportunities to use AI development tools to improve engineering efficiency.
Collaborate with product, architecture, business, and non-technical stakeholders on complex domain problems.

5–10 years of experience in backend or full stack development.
Proficiency in at least one of Java, Node.js, or Python and one of React or Angular.
Strong understanding of system design, API development, scalable systems, and production-grade end-to-end delivery.
Hands-on experience building applications with large language models and supporting an LLM-based feature serving end users.
Practical understanding of prompt engineering, output-quality evaluation, RAG, embeddings, and vector search.
Exposure to agentic AI, planning and tool use, multi-agent workflows, and human-in-the-loop approval patterns.
Experience with LangChain or LangGraph, AWS Bedrock, or Copilot Studio.
Experience using AI development tools such as Copilot and code assistants in a team setting.
Strong problem-solving, analytical, communication, collaboration, ownership, and adaptability skills.
Preferred experience in banking, financial services, or another regulated or complex domain.
Preferred awareness of AI security issues including prompt injection, data leakage, output validation, and the OWASP LLM Top 10.
Preferred experience with model evaluation frameworks, LLM observability tooling, search, data retrieval, analytics, cloud-native modernization, event-driven systems, or streaming architectures.

Health insurance, tuition reimbursement, accident and life insurance, retirement savings plans, training and coaching, manager support, and network-building opportunities.
The role is based at 401 9th Avenue SW, Suite 1930; no remote or hybrid arrangement is stated.
The posted salaried base-pay range is $70,000.00–$150,000.00, excluding this figure from benefit details.

10,000+ employees