Software Engineering Intern
Parsie, a remote-first AI SaaS company based in Ho Chi Minh City, Vietnam, is offering a Software Engineering Internship focused on AI interaction design. This is a remote, paid internship ideal for those interested in developing production-grade AI workflows with real-world impact. Interns will collaborate on designing data extraction pipelines using LLMs, OCR tools, and serverless backend services. You’ll help implement and debug multi-step prompting systems, maintain structured schemas, and support monitoring and testing frameworks. Benefits include hands-on experience with modern AI tools, close mentorship from the founding team, and the chance to contribute to a platform helping developers worldwide manage document data extraction.
Ideal candidates should have a solid foundation in backend development (Node.js/TypeScript, Python, or .NET), familiarity with REST APIs, and exposure to serverless architectures such as Azure Functions. A strong interest or experience in LLM prompt engineering, structured data formats like JSON schemas, and tools like Azure Document Intelligence, OpenAI APIs is essential. Additional experience with tools like LangChain, CI/CD pipelines, or document layout parsing is a plus.
This internship offers a unique opportunity to work at the intersection of AI and developer tools in a startup environment. Interns will gain mentorship from the company’s founders, exposure to real-world LLM deployment, and the chance to work on systems powering scalable document extraction APIs. To apply, send your resume and project links to hello@useparsie.com with the subject “AI Interaction Design Internship – [Your Name]”.
About Parsie
Parsie is a cutting-edge SaaS platform that transforms unstructured documents (PDFs, images, spreadsheets) into structured, usable data using AI and Large Language Models (LLMs). We empower developers and SMEs to build custom data extraction workflows leveraging prompt engineering, OCR, and backend orchestration.
Responsibilities
- Collaborate on designing and implementing AI-powered data extraction pipelines using LLMs and OCR tools (e.g., Azure Document Intelligence, OpenAI API).
- Research, experiment, and optimize prompt engineering techniques such as chain-of-thought, role prompting, function calling, and JSON schema outputs.
- Build and maintain serverless backend services (e.g., Azure Functions, REST APIs) that power our multi-step workflows.
- Improve and manage structured data schemas for common document types.
- Implement prompt testing frameworks to validate output accuracy and consistency.
- Debug and refine multi-step LLM pipelines to reduce hallucination and increase reliability.
- Support the team with pipeline monitoring, evaluations, and documentation.
Technical Requirements
Backend Development Foundations:
- Proficiency in at least one backend language (Node.js/TypeScript, Python, or .NET (C#/F#))
- Understanding of REST APIs, JSON data handling, and async workflows
- Familiarity with serverless architectures (Azure Functions preferred)
Prompt Engineering & LLM Orchestration:
- Experience or strong interest in designing multi-step prompts
- Familiarity with structured output formats (e.g., JSON schema enforcement)
- Comfortable analyzing and debugging LLM outputs
Data Processing & Pipelines:
- Understanding of ETL workflows and data extraction principles
- Exposure to or willingness to learn OCR tools (e.g., Azure Document Intelligence)
- Familiarity with schema mapping and validation
Cloud & API Knowledge:
- Basic understanding of Azure (or similar cloud platforms like AWS/GCP)
- Experience with or ability to integrate 3rd-party APIs (OpenAI, Azure OpenAI, etc.)
Testing & Quality:
- Ability to create prompt test cases and regression tests
- Strong debugging skills for LLM-based systems
Preferred / Nice-to-Have
- Experience with LLM orchestration frameworks (LangChain, Semantic Kernel, etc.)
- Understanding of prompt security (e.g., injection prevention, safe validation)
- Familiarity with document layout parsing (e.g., receipts, insurance forms)
- Exposure to CI/CD pipelines (e.g., GitHub Actions)
What You’ll Learn
- How to build and ship production-grade AI workflows
- Hands-on experience with serverless cloud backends and prompt engineering at scale
- Close mentorship from founders working on real-world LLM deployment
- Opportunity to work on a product that empowers developers and SMEs globally
How to Apply
Send your resume or portfolio and any relevant project links to hello@useparsie.com Please use the subject line: “AI Interaction Design Internship – [Your Name]”
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