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AI Engineer

Job in Philadelphia, Philadelphia County, Pennsylvania, 19113, USA
Listing for: Valsoft Corporation
Full Time position
Listed on 2026-11-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Full Stack Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below
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’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, 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)
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…
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