AI Labs Engineer

Clasp is a mission-driven startup building tools that expand access to education and career opportunities. The AI Labs Engineer will build and improve internal AI-powered tools across the full product lifecycle, from workflow discovery and development through launch, adoption, and measurement. The role also involves helping colleagues use AI effectively and evaluating emerging models and agent patterns.

What you'll do:

• Own problems from discovery through adoption. Work directly with internal users to understand their workflows, build and launch solutions across the stack, and measure whether they helped
• Build and improve internal tools. Refine existing agents and create new ones, including their instructions, tools, guardrails, evaluations, and human handoffs
• Make your work maintainable. Document decisions, setup, risks, and operating steps. Raise architecture, security, privacy, compliance, or production risks early
• Help Claspmates build with AI. Run programs such as AI Champs, Lattes with AI Labs, and Lunch & Learns, and pair with colleagues to turn ideas into shipped products
• Keep learning as the field moves. Explore new models, products, and agent patterns, follow what is happening across the industry, and test what is genuinely useful

What they're looking for:

• • Evidence you can ship. You have built and shipped at least one tool/product/project beyond your own machine
• • Practical AI fluency. You actively use AI models and development tools. You can explain where they help, where they fail, what you verified yourself, and how you would evaluate quality in a real workflow
• • Full-stack range. You can reason about interfaces, backend logic, APIs and integrations, data flows, testing, and deployment. You do not need equal depth everywhere, but you can own a bounded feature end to end
• • Product judgment. You talk to users, clarify the decision the product should enable, choose the smallest useful version, and measure whether it worked
• • Fast learning. You ask for help with useful context, can operate with incomplete information, want coaching, and apply it
• Remote (ET & CT time zones only — some travel required)
• Additionally, they must be within 1 hour of a medium hub/ large airport with multiple daily flights to Boston
• We are targeting the broader New England area to start as we expect that the candidate to have frequent travel to Boston for onboarding and ongoing collaboration

Benefits:

• Competitive cash and equity compensation.
• Health benefits, including medical, dental, and vision coverage.
• Student loan repayment benefits.
• 401(k) matching.
• Commuter benefits.
• Flexible PTO.
• Opportunities to grow with a fast-moving, mission-driven team.