Forward Deployed Engineer Intern

Work directly with customers to understand their technical requirements, architecture, and use cases.

Help customers integrate Querit Search API into AI agents, RAG systems, research tools, and other AI applications.

Build demos, prototypes, proof-of-concepts, and reference implementations for customer use cases.

Debug technical issues across API integrations and help customers move from evaluation to production.

Advise customers on search quality, latency, retrieval strategies, and integration best practices.

Partner with Product and Engineering to identify recurring customer needs, technical blockers, and opportunities to improve the product.

Create reusable sample code, integration guides, demos, and technical documentation.

Work closely with the business team during technical evaluations, customer onboarding, and deployment.

Communicate with developers, founders, and engineering teams during customer-facing technical discussions.

Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related technical field.

Strong programming skills in Python, TypeScript/JavaScript, or a similar language.

Experience working with REST APIs, backend systems, or web applications.

Familiarity with modern AI application stacks, including LLMs, RAG, agents, or retrieval systems.

Strong problem-solving skills and ability to debug technical issues independently.

Comfortable communicating directly with customers and explaining technical concepts clearly.

Strong communication skills and a proactive, ownership-driven working style.

Able to work full-time and on-site from our Bay Area office for at least 3 months.