{"id":2872323,"url":"https://alion.io/job/studyfetch-senior-fullstack-engineer-applied-ai","title":"Senior Fullstack Engineer - Applied AI","company":{"id":178211,"name":"StudyFetch","domain":"studyfetch.com","url":"https://alion.io/company/studyfetch","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"C","score":65,"open_postings":17,"ghost_share":0.588,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Beverly Hills, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":270000,"currency":"USD","period":"year","gross":null,"usd_annual":270000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"LLM","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"React Native","optional":false},{"name":"Rest API","optional":false},{"name":"Tailwind CSS","optional":false},{"name":"TypeScript","optional":false},{"name":"Vercel","optional":false},{"name":"JavaScript","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-01-09T00:32:31Z","employer_posted_date":"2026-01-09","last_verified_at":"2026-11-12T02:50:25Z","board_verified":true,"closed_at":null,"days_open":307,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":306},"description":"About Studyfetch\nStudyFetch is the #1 AI-native learning platform globally, transforming how millions of students learn through personalized AI-powered education. We’re growing fast with backing from top-tier investors and a mission that’s redefining the future of education and ethical learning.\nAbout the Role\nWe’re seeking exceptional Senior Fullstack Engineers with Applied AI expertise who thrive in fast-paced startup environments. As we scale, you’ll join a team that’s working to redefine education through AI. This is an in-person role where you’ll work directly with our founding team to build technology that impacts millions of learners and educators worldwide.\nKey Responsibilities\nDesign and implement scalable full-stack solutions integrating cutting-edge AI/LLM technologies into our learning platform for both mobile and web\nExperiment with emerging AI technologies to continuously improve our platform’s capabilities\nWork closely with product, design, sales, and marketing teams to deliver features that delight students and educators\nTechnical Requirements\nFrontend: Expert-level proficiency in Next.js, React, TypeScript, and Tailwind CSS\nBackend: Strong experience with Node.js, Express, REST API design, and serverless architectures\nAI/LLM Integration: Hands-on experience implementing and optimizing LLM applications, prompt engineering, and AI workflows\nDatabase: Expertise in MongoDB and PostgreSQL, with understanding of vector databases for AI applications\nCloud & Infrastructure: AWS experience (Bedrock, S3, VPC, Lambda), Vercel\nMobile: React Native experience for iOS/Android development\nWhat We’re Looking For\n5+ years of experience\nYou’ve been an early engineer at a startup or have founding engineer experience and are willing to work fast and long on issues\nYou’re motivated by our mission to democratize education through technology\nWhat We Offer\n$170,000 - 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