AI Engineer

Aspire Software; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Pinpoint Global is seeking a hands-on engineer to embed with our engineering team, driving AI-powered features inside our .NET stack. You’ll design and deploy scalable AI systems, integrate LLMs, and build polyglot microservices

The role emphasizes end-to-end ownership, rapid iteration, and delivering real business impact through secure, production-grade AI in a fast-moving SaaS environment.

Qualifications

• 3–5+ years of enterprise software development with strong full-stack web fundamentals.
• Hands-on experience with .NET / ASP.NET MVC and C#.
• Fluency across Python, JavaScript, TypeScript, .NET, NextJS.
• Relational databases experience; MS SQL a plus.
• Backend experience designing polyglot APIs and microservices.
• Familiarity with containerization (Docker, Kubernetes) and multi-region cloud infra.

Responsibilities

• Build & Ship AI Systems for production use.
• Integrate AI capabilities into ASP.NET MVC products.
• Design, develop, and deploy scalable, secure AI systems.
• Integrate enterprise LLMs via API routing gateways.
• Develop autonomous multi-agent workflows and orchestration tools.
• Build new product surfaces like smart content recommendations and AI-assisted reporting.
• Prototype quickly, test adversarially, deploy, and iterate.
• Architect AI infrastructure and scalable pipelines.

Skills

NET / ASP.NET MVC

C# / .NET

Python

JavaScript / TypeScript

MS SQL

WebSockets / SSE

Docker

Kubernetes

Cloud: AWS/Azure/GCP

AI/ML APIs integration

OpenAI / Anthropic / Gemini

RAG pipelines

Vector databases

LangSmith / evaluation tooling

CI/CD automation

Adversarial testing

Security / SOC 2 awareness

Tools

Docker

Kubernetes

AWS

Azure

GCP

OpenAI API

Anthropic Claude

Gemini

Pinecone

Weaviate

FAISS

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 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

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