AI Engineer - Production-Grade AI for Enterprise SaaS

Valsoft Corporation

Northern (KY)

Hybrid

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Pinpoint Global is seeking a hands-on engineer to embed within our engineering team, enhancing our .NET stack with production-grade AI. You will own end-to-end problems, from designing AI integrations to deploying scalable microservices, and you'll work directly on live products at a fast pace.

Expect to collaborate across product and design, ship features end-to-end, and drive measurable impact on NRR through AI-driven improvements.

Qualifications

  • 3–5+ years of enterprise software development experience.
  • Hands-on experience with .NET / ASP.NET MVC (our core stack) and C#.
  • Experience integrating AI/ML APIs in production.

Responsibilities

  • 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.

Skills

C#
ASP.NET MVC
.NET
Python
JavaScript/TypeScript
MS SQL
WebSockets/SSE
Docker
Kubernetes
Cloud platforms (AWS/Azure/GCP)
OpenAI API
Anthropic API
Gemini API

Tools

Pinecone
Weaviate
FAISS
Claude Code CLI
OpenAI Codex
LangSmith

Job description

Pinpoint Global is seeking a hands-on engineer to embed within our engineering team, enhancing our .NET stack with production-grade AI. You will own end-to-end problems, from designing AI integrations to deploying scalable microservices, and you'll work directly on live products at a fast pace.

Expect to collaborate across product and design, ship features end-to-end, and drive measurable impact on NRR through AI-driven improvements.

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