Applied AI Engineer Intern
Indexed description
Join us in building transformative technology that reshapes one of the world’s oldest and largest industries.
The Opportunity
We’re seeking an Applied AI Engineer Intern to join Parspec in Summer 2026 (start date flexible). This role is part of the AI team and works closely with Product and Engineering on fast-moving, real-world applications of AI.
As an intern, you’ll apply modern AI and machine learning techniques to concrete product problems, such as understanding product specifications, improving product recommendations, and exploring early agentic AI workflows, while learning how AI systems are designed, built, evaluated, and shipped in the real world.
This is an ideal role for a student who wants hands-on experience applying AI to complex, messy industry data and customer-facing product workflows.
What You Will Achieve And Key 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
Who You Are
You’re excited about applying AI to real-world problems that don’t come neatly packaged. You enjoy breaking down complex systems, working with imperfect data, and experimenting to find practical solutions. You’re curious, technically grounded, and comfortable collaborating with Product and Engineering partners to balance model performance, system constraints, and customer impact.
Qualifications
- 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.
- Exposure to B2B SaaS products, especially workflow-heavy or operations-focused software
- Interest in or exposure to construction industry workflows, including materials procurement
- 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
The Parspec team believes that varied backgrounds drive better outcomes and fuel innovation. We are a team of self-starters who lead from every seat. We think big, set a standard of excellence, and are committed to diversity and a discrimination-free workplace. We welcome applicants from all walks of life to join us and help shape the future of our industry.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search