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 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
