{"schemaVersion":"jobsearcher.job.v1","id":"e8776e2e735fd1bc36ed375f","url":"https://jobsearcher.com/jobs/e8776e2e735fd1bc36ed375f","canonicalUrl":"https://jobsearcher.com/jobs/e8776e2e735fd1bc36ed375f","title":"Full-Stack Software Developer Intern","description":"Role SummaryWe are looking for a motivated Software Developer Intern to join our AI & EdTech R&D team. This internship isideal for students with a strong interest in AI, LLMs, and building real-world software systems. You will workalongside experienced engineers, contribute to production features, and gain hands-on experience withcutting-edge AI infrastructure in an early-stage startup environment.Location: Remote/OnsiteWhat You'll Do• Assist in building and testing AI application infrastructure, including APIs, data pipelines, and LLM-poweredworkflows.• Support development and evaluation of RAG pipelines, prompt strategies, and structured-output systems.• Help refactor prototype experiments into maintainable, production-ready services.• Work with real-world educational data, including PDFs, transcripts, rubrics, and course materials.• Write tests, add logging, and help improve the reliability and quality of AI workflows.• Collaborate with engineers and product leads to validate features in real classroom settings.What We're Looking For• Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML, or arelated field.• Solid Python skills with an understanding of clean, maintainable code.• Basic familiarity with APIs, backend development, or web frameworks (FastAPI or Flask is a plus).• Exposure to or curiosity about LLMs, AI tools, or machine learning concepts.• Ability to work independently on ambiguous problems and communicate progress clearly.• Strong attention to detail and willingness to learn in a fast-moving environment.Valuable Skills (Nice to Have)LLM / AI: LangChain, RAG, prompt engineering, OpenAI/Anthropic APIsBackend: FastAPI, asyncio, Pydantic, REST APIsCloud: AWS basics (S3, Lambda), DockerData/ Parsing: PDF parsing, OCR, document pipelinesEdTech / LMS: Canvas, LTI, Google Classroom exposureFrontend: React / Next.js / TypeScript (helpful, not required)Tech StackBackend: Python 3.12, FastAPI, asyncio, PydanticAI/ML: OpenAI, Anthropic, LangChain, PineconeCloud: AWS S3, DynamoDB, LambdaOther: Docker, pytest, Canvas/LTI, RedisWhat Success Looks Like• Contributes meaningful code to at least one core AI feature or workflow during the internship.• Writes clean, documented, and testable code that the team can build on.• Communicates progress, blockers, and learnings clearly with the engineering team.• Leaves with a deeper understanding of production AI systems and EdTech infrastructure.Why Join Encando?• Work on real AI infrastructure used by 3,000+ students across 5+ universities.• Gain hands-on experience with LLMs, RAG, and production-grade AI systems.• Early-stage startup — your work will have a direct, visible impact.• Mentorship from experienced engineers and AI researchers.• Potential for full-time conversion based on performance.","company":"Encandoai","rawCompany":"encandoai","city":"College Station","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-06-17T01:52:39.491Z","occupations":[],"industries":[],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full-Stack Software Developer Intern","description":"Role SummaryWe are looking for a motivated Software Developer Intern to join our AI & EdTech R&D team. This internship isideal for students with a strong interest in AI, LLMs, and building real-world software systems. You will workalongside experienced engineers, contribute to production features, and gain hands-on experience withcutting-edge AI infrastructure in an early-stage startup environment.Location: Remote/OnsiteWhat You'll Do• Assist in building and testing AI application infrastructure, including APIs, data pipelines, and LLM-poweredworkflows.• Support development and evaluation of RAG pipelines, prompt strategies, and structured-output systems.• Help refactor prototype experiments into maintainable, production-ready services.• Work with real-world educational data, including PDFs, transcripts, rubrics, and course materials.• Write tests, add logging, and help improve the reliability and quality of AI workflows.• Collaborate with engineers and product leads to validate features in real classroom settings.What We're Looking For• Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, AI/ML, or arelated field.• Solid Python skills with an understanding of clean, maintainable code.• Basic familiarity with APIs, backend development, or web frameworks (FastAPI or Flask is a plus).• Exposure to or curiosity about LLMs, AI tools, or machine learning concepts.• Ability to work independently on ambiguous problems and communicate progress clearly.• Strong attention to detail and willingness to learn in a fast-moving environment.Valuable Skills (Nice to Have)LLM / AI: LangChain, RAG, prompt engineering, OpenAI/Anthropic APIsBackend: FastAPI, asyncio, Pydantic, REST APIsCloud: AWS basics (S3, Lambda), DockerData/ Parsing: PDF parsing, OCR, document pipelinesEdTech / LMS: Canvas, LTI, Google Classroom exposureFrontend: React / Next.js / TypeScript (helpful, not required)Tech StackBackend: Python 3.12, FastAPI, asyncio, PydanticAI/ML: OpenAI, Anthropic, LangChain, PineconeCloud: AWS S3, DynamoDB, LambdaOther: Docker, pytest, Canvas/LTI, RedisWhat Success Looks Like• Contributes meaningful code to at least one core AI feature or workflow during the internship.• Writes clean, documented, and testable code that the team can build on.• Communicates progress, blockers, and learnings clearly with the engineering team.• Leaves with a deeper understanding of production AI systems and EdTech infrastructure.Why Join Encando?• Work on real AI infrastructure used by 3,000+ students across 5+ universities.• Gain hands-on experience with LLMs, RAG, and production-grade AI systems.• Early-stage startup — your work will have a direct, visible impact.• Mentorship from experienced engineers and AI researchers.• Potential for full-time conversion based on performance.","datePosted":"2026-06-17T01:52:39.491Z","dateModified":"2026-06-17T01:52:39.491Z","hiringOrganization":{"@type":"Organization","name":"Encandoai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"College Station","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e8776e2e735fd1bc36ed375f"},"url":"https://jobsearcher.com/jobs/e8776e2e735fd1bc36ed375f"}}