Forward Deployed Engineer Intern

About the Role

What You’ll Do

• 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.

What We’re Looking For

• 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.

Nice to Have

• Previous software engineering, AI, or technical internship experience.
• Experience building AI agents, RAG pipelines, search, or retrieval systems.
• Familiarity with frameworks such as LangChain, LlamaIndex, LangGraph, OpenAI SDKs, or similar tools.
• Experience with developer tools, APIs, AI infrastructure, or enterprise software.
• Experience building and shipping side projects, hackathon projects, or production applications.