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Customer Engineer Intern Jobs in Issaquah, WA (NOW HIRING)

Spatium Lab LLC

AI Engineer Intern

Bellevue, WA · On-site

$82.66 - $165.31/hr

RAG, LLM Integration, Function Calling, AWS Bedrock, MCP/A2A Build AI-powered features for B2B SaaS that handle real customer data securely. This is practical AI engineering, not research--you'll ...

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Customer Engineer Intern information

What does a customer engineer intern do?

A Customer Engineer Intern supports customer-facing technical teams by assisting with troubleshooting, deploying, and maintaining products or services for clients. They often work alongside experienced engineers to resolve technical issues, provide product demonstrations, and help customers implement solutions. The role provides hands-on experience with real-world technical challenges and helps interns develop communication and problem-solving skills in a professional environment.

What are the key skills and qualifications needed to thrive as a customer engineer intern?

To thrive as a Customer Engineer Intern, you need a basic understanding of computer science, troubleshooting, and customer service, often supported by coursework in IT or engineering. Familiarity with cloud platforms, operating systems, and ticketing systems like ServiceNow or Jira is commonly expected. Strong communication, problem-solving, and a collaborative attitude help you stand out in this client-facing role. These skills are crucial for effectively resolving technical issues and ensuring positive customer experiences in a fast-paced environment.

What types of projects and responsibilities can a customer engineer intern expect during their internship?

As a Customer Engineer Intern, you can expect to work on a mix of technical support tasks, customer-facing projects, and internal process improvements. Typical responsibilities include assisting with troubleshooting client issues, collaborating with engineering teams to resolve technical challenges, and helping to implement solutions for customer environments. You'll also likely participate in documentation efforts and shadow experienced engineers during customer meetings or demos. This hands-on experience offers valuable exposure to both technical and client interaction skills, preparing you for future roles in technical consulting or customer engineering.

What is the difference between Customer Engineer Intern vs Customer Support Specialist?

AspectCustomer Engineer InternCustomer Support Specialist
Required CredentialsEnrolled in or recent graduate of a technical degree (e.g., Computer Science, Engineering)High school diploma or equivalent; some technical knowledge preferred
Work EnvironmentHands-on technical environment, assisting with product deployment and troubleshootingCustomer service-focused, handling inquiries and resolving issues via phone, email, or chat
Employer & Industry UsageTech companies, especially in cloud, software, or hardware sectorsBroadly used across tech, telecom, and service industries

The Customer Engineer Intern role is more technically focused, involving hands-on support and deployment tasks, often requiring relevant technical coursework or education. In contrast, the Customer Support Specialist primarily handles customer inquiries and troubleshooting through communication channels. Both roles serve customers but differ in technical depth and work environment.

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What cities near Issaquah, WA are hiring for Customer Engineer Intern jobs?

Cities near Issaquah, WA with the most Customer Engineer Intern job openings:

Customer Engineer Intern jobs near you

AI Engineer Intern

Spatium Lab LLC

Bellevue, WA • On-site

$82.66 - $165.31/hr

Other

Posted 2 days ago

New

Job description

RAG, LLM Integration, Function Calling, AWS Bedrock, MCP/A2A

Build AI-powered features for B2B SaaS that handle real customer data securely. This is practical AI engineering, not research—you'll ship production systems that integrate LLMs, implement RAG pipelines, and build agent workflows. We're looking for engineers who understand that AI in production means thinking about security, multi-tenancy, costs, and reliability, not just prompts.

  • Design and implement RAG pipelines for engineering documentation and knowledge bases
  • Build function/tool calling systems with structured outputs and reliable execution
  • Integrate LLMs via AWS Bedrock, GCP Vertex AI, or OpenAI APIs
  • Develop MCP (Model Context Protocol) servers and A2A (Agent-to-Agent) workflows
  • Implement secure, multi-tenant AI features that protect customer data isolation
  • Build background task pipelines (Celery, SQS) for async AI processing at scale
  • Create embeddings pipelines and manage vector databases for semantic search
  • Monitor AI system performance, costs, and quality metrics in production
Requirements
  • Strong Python skills with async programming experience
  • Understanding of transformer architectures and LLM fundamentals—how they work, not just how to call them
  • Experience building with LangChain, LlamaIndex, or similar orchestration frameworks
  • Knowledge of vector databases (Pinecone, Weaviate, Chroma, pgvector)
  • Familiarity with AWS or GCP cloud services and containerization (Docker)
  • Understanding of security principles for multi-tenant systems—data isolation matters
  • Experience with message queues and background processing (Celery, SQS, Redis)
  • Self-directed problem solver who designs solutions, not just implements specs
  • Proficient with AI coding tools and prompt engineering—you've built with these, not just experimented
  • Prior professional experience not required if portfolio demonstrates real AI engineering capability
  • Competitive hourly compensation
  • Flexible schedule (full-time summer or part-time year-round)
  • Direct mentorship from founders and senior engineers
  • Real project ownership with production impact
  • Path to full-time conversion for exceptional performers
  • Modern tech stack and cutting-edge AI tools
  • Small team, high autonomy environment
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