Enterprise AI Solutions Engineer (Forward Deployed)

Quantum Technologies. LLC

San Jose (CA)

On-site

USD 102,000 - 146,000

Part time

2 days ago
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Job summary

Quantum Technologies. LLC is seeking a Forward Deployed Engineer to work with customers and engineering teams to design, develop, and deploy customized technology solutions across enterprise environments.

You'll combine software engineering with AI capabilities, building scalable applications, integrating APIs, and deploying AI-powered workflows. Strong experience with backend services, cloud platforms, and production-grade systems is essential.

Qualifications

  • Bachelor's degree in CS or related field; Master's preferred.
  • 6+ years in software engineering or solutions roles.
  • Experience deploying enterprise integrations with cloud platforms.
  • Customer-facing engineering experience preferred.
  • Ability to translate requirements into production architectures.

Responsibilities

  • Design and implement customized software solutions for enterprise clients.
  • Collaborate with customers and cross-functional teams.
  • Build APIs, backend services, and AI-powered applications.
  • Architect scalable, secure production deployments.
  • Troubleshoot complex issues across apps and infra.
  • Prepare deployment guides and provide implementation recommendations.

Skills

Python
Java
TypeScript
REST APIs
Microservices
React
Node.js
Generative AI
LLM integration
RAG
SQL
NoSQL
AWS
Azure
GCP
Docker
Kubernetes
CI/CD
Observability
Security practices

Education

Bachelor's degree in Computer Science or related field
Master's degree in CS/AI preferred

Tools

Docker
Kubernetes
LangChain
LangGraph
LlamaIndex
Semantic Kernel

Job description

Quantum Technologies. LLC is seeking a Forward Deployed Engineer to work with customers and engineering teams to design, develop, and deploy customized technology solutions across enterprise environments.

You'll combine software engineering with AI capabilities, building scalable applications, integrating APIs, and deploying AI-powered workflows. Strong experience with backend services, cloud platforms, and production-grade systems is essential.

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