AI Engineer
Listed on 2026-11-01
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Software Development
AI Engineer (Applied/Software), Backend Developer, Full Stack Developer, Cloud Engineer - Software
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 RoleYou’llembed 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 →validatevia adversarial testing → deploy → iterate
- Implement complex RAG pipelines and optimizetrade-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 viaWebSocketsand 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
- 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
- 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, Type Script, .NET, NextJS - Solid understanding of relational databases — MS SQL experience a plus
- Backend experience designing polyglot APIs, decoupled async microservices, and persistent connection protocols (Web Sockets/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…
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