AI Engineer

Valsoft Corporation; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Pinpoint Global, part of ValsoftEdelweiss Software Group, is seeking a hands-on Senior Full-Stack Engineer to join the AI & Compliance initiative. You’ll work directly in our .NET codebase, delivering production-grade AI features in a SaaS platform.

You’ll own end-to-end development from AI API integration to scalable microservices, collaborating with product and design to ship secure, high-velocity solutions that improve NRR and ROI.

Qualifications

• 3–5+ years of enterprise software development experience with full-stack web fundamentals.
• Hands-on experience with .NET / ASP.NET MVC and C#
• Fluency across popular languages and frameworks: Python, JavaScript, TypeScript, .NET
• Solid understanding of relational databases — MS SQL experience a plus
• Backend experience designing polyglot APIs, decoupled async microservices, and WebSockets/SSE
• Familiarity with containerization (Docker, Kubernetes) and multi-region cloud infrastructure (AWS, Azure, or GCP)

Responsibilities

• Integrate AI capabilities into our ASP.NET MVC products.
• Design, develop, and deploy production-grade, secure AI systems using scalable polyglot microservices.
• Integrate enterprise LLMs via fault-tolerant API routing gateways.
• Develop autonomous multi-agent workflows using orchestration tools.
• Build new product surfaces — smart content recommendations, automated compliance tracking, AI-assisted reporting.
• Prototype, validate with adversarial testing, deploy and iterate.

Skills

NET / ASP.NET MVC

C#

Python

JavaScript

TypeScript

MS SQL

WebSockets

REST APIs

Docker

Kubernetes

Cloud (Azure/AWS/GCP)

Tools

Claude Code CLI

OpenAI Codex

LangSmith

Job 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 ValsoftEdelweiss 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’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

Architect AI Infrastructure

• 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

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 (includingworktreeisolation 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; youoperateat 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