Description

About Us

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.

Our core stack is ASP.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.

The Role

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.

This is a full-stack role with direct product impact. 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.

What You'll Do

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

- Integrate enterprise LLMs (Anthropic Claude, OpenAI, Google Gemini) into SaaS platforms via fault-tolerant API routing gateways





- Develop autonomous multi-agent workflows using parallel orchestration tools (Claude Code CLI, OpenAI Codex)

- Build new 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

- Build polyglot microservices handling long-running tasks and streaming via WebSockets and Server-Sent Events

- Ensure SOC 2 compliance, data residency controls, and deterministic execution through policy-as-code agentic governance

- Deploy and scale models within secure managed cloud boundaries

Modernize & Collaborate

- 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

- Integrate synthetic red teaming into CI/CD to prevent prompt drift,



reward hacking, and logic degradation

- 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

Core Engineering

- 3–5+ years of enterprise software development experience with robust full-stack web fundamentals

- Hands-on experience with .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

- Backend experience designing polyglot APIs, decoupled async microservices, and persistent connection protocols (WebSockets/SSE)

- 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

- Enterprise LLM integration and dynamic API routing (OpenAI, Anthropic, Gemini)

- Multi-agent orchestration and advanced CLI tooling (Claude Code, OpenAI Codex)

- Mastery of AI IDE tooling: Cursor for repo-wide reasoning, GitHub Copilot

- RAG pipeline design: dynamic chunking, vector databases, embedding management

- Custom evaluations (LangSmith), structured outputs, and managed fine-tuning in secure cloud environments

MLOps & Process Automation

- Zero-touch CI/CD pipelines and advanced Git w

📌 AI Engineer (Canada)
🏢 Valsoft
📍 Canada