At Pinpoint Global, we build training and compliance platforms that organizations rely on to keep their teams skilled, certified, and audit-ready. We're part of the Valsoft Edelweiss Software Group — a large-scale portfolio of vertical market B2B SaaS companies — and we operate with a startup mindset: high ownership, high velocity, and real ROI. NET MVC + MS SQL — battle-tested and ready to evolve. We're looking for true builders: engineers who orchestrate systems, ship production-grade AI, and modernize massive legacy codebases at speed. You'll embed directly in our engineering team, working hands-on inside our .
NET codebase and broader product suite. Your mission is to act as an organizational force multiplier — turning legacy inefficiencies into intelligent systems, increasing Net Revenue Retention (NRR), and driving measurable business impact through production-grade AI. If you enjoy owning problems end-to-end, have a relentless bias toward action, and thrive on shipping real systems at high velocity — this role is for you. Build & Ship AI Systems ~ Integrate AI capabilities (LLM APIs, intelligent automation, personalization) into our ASP.
NET MVC products ~ Design, develop, and deploy production-grade, secure AI systems using scalable polyglot microservices ~ Build recent product surfaces — smart content recommendations, automated compliance tracking,



AI-assisted reporting ~ Rapidly prototype → validate via adversarial testing → deploy → iterate Architect AI Infrastructure ~ Implement complex RAG pipelines and optimize trade-offs between massive-context hydration and multi-stage semantic retrieval ~ Build vector databases (Pinecone, Weaviate, FAISS) and manage persistent document embedding queues ~ Ensure SOC 2 compliance, data residency controls, and deterministic execution through policy-as-code agentic governance ~ Identify high-impact modernization opportunities across our training and compliance platform ~ Help migrate legacy features into scalable, AI-native architectures using agentic swarm coding and automated refactoring ~ Architect zero-touch CI/CD pipelines with adversarial gating and AI-driven test automation ~ Work directly with non-technical stakeholders to translate ambiguous business problems into secure, scalable AI solutions ~ Collaborate with product and design to ship features end-to-end Required Technical Skills 3–5+ years of enterprise software development experience with strong full-stack web fundamentals ~ NET / ASP.
NET MVC (our core stack) and C# ~ Fluency across popular languages and frameworks: Python, JavaScript, TypeScript, .
NET, NextJS ~ Solid understanding of relational databases — MS SQL experience a plus ~ Familiarity with containerization (Docker, Kubernetes) and multi-region cloud infrastructure (AWS, Azure,



or GCP) AI & ML Systems ~ Practical experience integrating AI/ML APIs or building AI-powered features in production ~ Mastery of AI IDE tooling: RAG pipeline design: dynamic chunking, vector databases, embedding management ~ Zero-touch CI/CD pipelines and advanced Git workflows (including worktree isolation for autonomous sub-agents) ~ Unit test and benchmark automation integrated with AI-driven testing frameworks ~ Adversarial LLM testing and automated synthetic red-teaming ~ Hallucination mitigation, enterprise guardrails, and deterministic policy-as-code execution ~ Real-time token/credit consumption tracking and dynamic access limit monitoring Bonus Points ~ Experience with prompt engineering, RAG pipelines, or agentic workflows ~ NET applications ~ Highly hands-on — you ship, not just design; Strong product instincts — you think about the user, not just the implementation ~ Fast learner — you track real-time shifts in AI ecosystems, APIs, and infrastructure ~ NET MVC
· C#
· MS SQL
· Python
· TypeScript
· LLM APIs (Anthropic, OpenAI, Gemini)
· RAG / Vector DBs
· Docker
· Kubernetes
· Azure / AWS / GCP
· REST APIs
· WebSockets
· HTML/CSS/JS Shape the AI strategy of a growing compliance and training platform ~ Real modernization challenge: legacy codebase + greenfield AI opportunity in parallel ~ Collaborative, low-ego team that ships and iterates fast ~ Startup velocity inside an established, well-resourced corporate portfolio

📌 AI Engineer (Canada)
🏢 Valsoft
📍 Canada