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AI Engineer

3 hours, 17 minutes ago
Canada
Full-time
Mid Level
AI Engineer
Software Development
AWS Azure C# CI/CD CSS Docker GCP Git HTML JavaScript Kubernetes Microservices .NET Next.js Python REST API TypeScript WebSockets
Apply Now
Aspire Software

Aspire Software

Aspire Software specializes in vertical acquisition software, focusing on nurturing, enhancing, and growing a diverse portfolio of businesses by providing them with the necessary resources and expertise to maximize their growth potential.

Internet Software & Services
251-1K
Founded 2016
View All Jobs 54

Description

  • Integrate LLM APIs, intelligent automation, and personalization into ASP.NET MVC products.
  • Design, develop, deploy, secure, and scale AI systems using polyglot microservices.
  • Build enterprise LLM routing gateways, multi-agent workflows, and AI-powered product features.
  • Implement RAG pipelines, vector databases, embedding queues, and streaming services using WebSockets and SSE.
  • Ensure SOC 2 compliance, data residency, secure cloud deployment, and policy-as-code governance.
  • Identify modernization opportunities and migrate legacy features to scalable AI-native architectures.
  • Build automated CI/CD, testing, adversarial gating, and synthetic red-team workflows.
  • Translate ambiguous business problems into scalable AI solutions and collaborate with product, design, and non-technical stakeholders.
  • Prototype, validate, deploy, and iterate rapidly on production systems.

Requirements

  • 3–5+ years of enterprise software development experience with strong full-stack web fundamentals.
  • Hands-on experience with C#, .NET, and ASP.NET MVC; MS SQL experience is a plus.
  • Proficiency with Python, JavaScript, TypeScript, .NET, and NextJS.
  • Experience designing relational database systems, polyglot APIs, asynchronous microservices, WebSockets, and SSE.
  • Familiarity with Docker, Kubernetes, and AWS, Azure, or GCP cloud infrastructure.
  • Production experience integrating AI/ML APIs or building AI-powered features.
  • Experience with OpenAI, Anthropic, and Google Gemini integrations, dynamic routing, and multi-agent orchestration.
  • Experience with RAG design, vector databases, embeddings, structured outputs, LangSmith, and managed fine-tuning.
  • Knowledge of CI/CD automation, Git workflows, AI-driven testing, adversarial LLM testing, guardrails, and policy-as-code.
  • Preferred experience with legacy .NET modernization, regulated industries, SOC 2, prompt engineering, or agentic workflows.

Benefits

  • Opportunity to shape the AI strategy of a growing training and compliance platform.
  • Ownership of meaningful features from day one.
  • Combination of legacy modernization and greenfield AI development.
  • Collaborative, low-ego team with rapid shipping and iteration.
  • Startup-style velocity within an established, well-resourced corporate portfolio.

Interested in this position?

Apply directly on the company website

Apply Now

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