AI Engineer
Valsoft Corporation13 days ago
Remote, CanadaMid Level / Senior
Responsibilities
- Integrate LLM APIs and intelligent automation into ASP.NET MVC products.
- Design, develop, deploy, and scale secure production-grade AI systems using polyglot microservices.
- Integrate Anthropic Claude, OpenAI, and Google Gemini through fault-tolerant API routing gateways.
- Develop autonomous multi-agent workflows using Claude Code CLI and OpenAI Codex.
- Build AI-powered product features including content recommendations, compliance tracking, and reporting.
- Design RAG pipelines, vector databases, document embedding queues, and semantic retrieval systems.
- Build microservices for long-running tasks and streaming over WebSockets and Server-Sent Events.
- Implement SOC 2 controls, data residency controls, deterministic execution, and policy-as-code governance.
- Modernize legacy .NET features into scalable AI-native architectures.
- Build automated CI/CD, testing, evaluation, synthetic red-teaming, and adversarial validation workflows.
- Track AI ecosystem changes, manage access limits and token consumption, and translate business needs into secure AI solutions.
Requirements
- 3–5+ years of enterprise software development experience with strong full-stack web fundamentals.
- Hands-on experience with .NET, ASP.NET MVC, and C#.
- Fluency with Python, JavaScript, TypeScript, .NET, and NextJS.
- Experience with relational databases, with MS SQL experience preferred.
- Backend experience designing APIs, asynchronous microservices, WebSockets, and Server-Sent Events.
- Familiarity with Docker, Kubernetes, and multi-region infrastructure on AWS, Azure, or GCP.
- Practical experience integrating AI/ML APIs or building AI-powered production features.
- Experience with enterprise LLM integration, dynamic API routing, multi-agent orchestration, and CLI tooling.
- Experience with Cursor, GitHub Copilot, RAG pipelines, vector databases, embedding management, and LangSmith evaluations.
- Experience with secure cloud environments, managed fine-tuning, AI-driven testing, guardrails, and adversarial LLM testing.
- Prompt engineering, agentic workflows, legacy .NET refactoring, regulated-industry experience, and SOC 2 knowledge are preferred.
- Strong ownership, product judgment, business orientation, and ability to work independently in an ambiguous, high-velocity environment.
Benefits
- Fully remote work arrangement in Canada.
- Full-time role with ownership of meaningful AI features and AI strategy from day one.
- Opportunity to modernize a legacy codebase while building greenfield AI capabilities.
- Startup-style velocity within an established, well-resourced corporate software portfolio.
Tech Stack
Categories