AI Engineer

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