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 strong 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 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 - Familiarity with refactoring or re-architecting legacy .NET applications - Background in regulated industries: HR tech, e-learning, compliance, LMS platforms - Knowledge of SOC 2 audit requirements and compliance automation tooling Who You Are - Highly hands-on — you ship, not just design; you operate at velocity by orchestrating autonomous tools - Entrepreneurial startup mindset — you spot legacy inefficiencies and act with a bias toward rapid action - Comfortable with ambiguity — you scope, own, and deliver independently - Business-oriented — you care about ROI, operational leverage, and financial metrics like NRR and CAC - 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 - Pragmatic — you use the right secure enterprise tool for the bottleneck, not just the flashiest one Tech Stack ASP.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 Why Join - Shape the AI strategy of a growing compliance and training platform - Own meaningful features from day one — not just tickets in a backlog - 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

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