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Salary: USD 87,500 - 108,150 / annual
Clasp is a venture-backed fintech startup focused on expanding access to education and career opportunities through two business lines: Clasp Talent (helping healthcare employers attract and retain talent via student loan repayment benefits) and Clasp Student Finance (enabling colleges and universities to operate private student loan programs). The company is Forbes Fintech 50-listed and recognized as Startup of the Year by StartUp Boston.
AI Labs is an internal initiative to make AI useful in day-to-day work across the company. Over 70% of employees use AI Labs-built agents and tools weekly. You will be the second engineer in AI Labs, working across the full product lifecycle: understanding workflows, identifying problems, building end-to-end solutions, launching, measuring adoption, and iterating.
In this L1 role, you will own problems from discovery through adoption, working directly with internal users to understand their workflows and build solutions across the stack. You'll refine existing AI agents and create new ones, including their instructions, tools, guardrails, evaluations, and human handoffs. You'll make your work maintainable by documenting decisions, setup, risks, and operating procedures, and raising architecture, security, privacy, and compliance concerns early. You'll also help colleagues build with AI through programs like AI Champs and Lunch & Learns, pairing with teams to ship products. Finally, you'll stay current with the field by exploring new models, products, and agent patterns, testing what is genuinely useful.
The interview process includes a hiring manager conversation about completed work and product judgment, a technical assessment (realistic engineering pairing session with AI tools allowed), and a case study discussion on product thinking, scope, tradeoffs, and taking an AI product from idea to adoption.
REQUIREMENTS:
- Evidence you can ship: built and shipped at least one tool/product/project beyond your own machine
- Practical AI fluency: actively use AI models and development tools; can explain where they help and fail; can evaluate quality in real workflows
- Full-stack range: can reason about interfaces, backend logic, APIs/integrations, data flows, testing, and deployment; can own a bounded feature end-to-end
- Product judgment: talk to users, clarify decisions, choose smallest useful version, measure outcomes
- Fast learning: ask for help with context, operate with incomplete information, want coaching, apply feedback
- High agency and readiness to dive into unfamiliar problems
Note: Remote role limited to Eastern/Central US timezones (Boston hours). Candidate must be within 1 hour of a medium/large airport with multiple daily flights to Boston. Frequent travel to Boston expected for onboarding and ongoing collaboration.
