AI Engineer

Valsoft Corporation

About The Position

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. 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.

Requirements

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)
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
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

Nice To Haves

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

Responsibilities

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.