Applied AI Engineer Intern

ParspecSan Mateo, CA
Hybrid

About The Position

Parspec is seeking an Applied AI Engineer Intern to join their AI team in Summer 2026, with a flexible start date. This role involves working closely with Product and Engineering on real-world AI applications. The intern will apply modern AI and machine learning techniques to solve concrete product problems, such as understanding product specifications, improving product recommendations, and exploring agentic AI workflows. The position offers an opportunity to learn how AI systems are designed, built, evaluated, and shipped in a real-world context. This role is ideal for a student seeking hands-on experience applying AI to complex, messy industry data and customer-facing product workflows.

Requirements

  • Currently enrolled in a US-based, degree-seeking program (Bachelor’s, Master’s, or PhD) in Engineering, Computer Science, or related fields
  • Strong familiarity with core ML/AI concepts and tooling, such as model training (LoRA/QLoRA) and evaluation, embeddings, RAG systems, agentic frameworks like LangGraph, CrewAI or related techniques.
  • Strong familiarity with ranking and recommendations techniques.
  • Hands-on experience applying AI or machine learning to real-world projects, including working with imperfect data, making tradeoffs, and iterating based on results
  • Strong analytical and problem-solving skills
  • Ability to work effectively in ambiguous problem spaces with guidance and mentorship
  • Clear written and verbal communication skills for technical and non-technical audiences.

Nice To Haves

  • Exposure to B2B SaaS products, especially workflow-heavy or operations-focused software
  • Interest in or exposure to construction industry workflows, including materials procurement

Responsibilities

  • Contribute to AI-driven initiatives, from problem framing through experimentation and implementation
  • Build, prototype, evaluate, and iterate on models and AI-powered workflows used in customer-facing product features
  • Partner with Senior Applied AI Engineers and Product Managers to translate real customer problems into clear technical approaches and tradeoffs
  • Analyze structured and unstructured data (e.g., product specifications, documents, metadata) to improve model performance
  • Document assumptions, results, and learnings to support cross-functional alignment and decision-making

Benefits

  • Competitive stipend for the duration of the internship
  • Hands-on ownership of meaningful product work that directly impacts customers
  • Mentorship from experienced Product, Design, and Engineering leaders
  • Flexible hybrid work environment to support both in-office collaboration and focused remote work
  • Exposure to a fast-growing AI-powered B2B SaaS company and real-world product decision-making
  • Opportunities for learning and professional development through regular feedback and collaboration
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