Applied AI Full-Stack Engineer

We’re seeking engineers with 5+ years shipping real production products and a strong track record across the stack. You should be proficient in modern programming languages such as JavaScript (React, Node) and/or Python, with comfort across the full technology stack. You’re obsessed with 0→1 product development and comfortable navigating ambiguity. You’re actively building, experimenting with, or deploying AI products and energized by applying AI in your coding workflow. You’re autonomous, detail-oriented, and possess a strong builder mindset. Build and ship MVPs quickly, taking ownership from concept to production. Work hands-on with LLMs, APIs, and AI-assisted workflows. Use tools like Copilot, Cursor, GPT, Claude, and other AI copilots daily to accelerate development. Deliver AI-powered features inside high-growth startups across fintech, biotech, and next-gen infrastructure. Futureproofing is a talent platform that embeds high-caliber engineers into startups building real AI-driven products. We don’t train for theory or mass-submit resumes; we focus on shipping production AI features. As part of our team, you’ll join startups redefining fintech, biotech, and next-gen infrastructure, delivering end-to-end AI-enabled solutions. You’ll work with MVPs in fast-moving environments, collaborating directly with startup teams to turn AI concepts into measurable product outcomes. Our approach centers on output, ownership, and speed, with engineers embedded into the product teams to accelerate delivery and impact. Work setup is fully remote with flexible engagement options: part-time, project-based, or side gig. Flexible schedules with some overlap with US time zones. We offer a developer-first environment that prioritizes meaningful work, outcomes, and continuous learning. We cover 100% of training costs for applied AI topics when needed and focus on intentional, quality matches rather than keyword filtering. We embed engineers directly into startup teams to maximize impact and velocity. No need to quit your current job to join the team! Experience shipping AI-powered solutions in production, familiarity with MLOps concepts, and a portfolio of AI integrations or deployments. Comfortable in fast-paced startup environments, strong collaboration and communication skills, and the ability to balance speed with robust engineering practices.