# AI Engineer

**Company:** [Valsoft Corporation](http://jobs.workable.com/companies/i7bvgtD9zMBw8pksaJ6inV.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Research & Development

[Apply for this job](http://jobs.workable.com/view/39fd8e43-761c-4fa6-9ea5-75a3327027cb)

## 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