{"id":180106,"url":"https://alion.io/job/model-ml-full-stack-engineer","title":"Full-Stack Engineer","company":{"id":66664,"name":"Model ML","domain":"modelml.com","url":"https://alion.io/company/model-ml","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Work at a Startup","truth_index":null},"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":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":80000,"max":140000,"currency":"USD","period":"year","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Celery","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Kubernetes","optional":false},{"name":"Next.js","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Redis","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-08-31T14:15:04Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-17T03:10:34Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":46},"description":"Model ML is an AI-native workspace initially designed for investment banking, private equity, consultancies, and asset managers. You will work alongside two well-known founders who successfully sold their last two YC-backed companies. Model ML, has already raised double figures from Y Combinator and top-tier venture firms. With strong product-market fit and live production deployments at some of the world's largest and most prestigious institutions, Model ML's team is working around the clock across offices in New York, London, and Hong Kong to become the leading AI application platform for enterprise.\nSoon, all your digital information will be stored in one place. Everything you do, whether that be sending emails, building presentations, having meetings, pulling data, or doing research, will all be underpinned by an AI model that belongs to you. Using Model ML, you'll simply talk to your laptop or phone to get things done.\nAbout the role\nWe are seeking a highly skilled Full-Stack Engineer with at least 5 years of professional experience to join our growing team. The ideal candidate has a strong background in building modern web applications, is fluent in React/Next.js, experienced with backend development (Python preferred), and has hands-on exposure to infrastructure and DevOps practices.\nYou will play a key role in designing, developing, and maintaining high-quality, scalable, and secure systems across the stack - from frontend interfaces to backend APIs, databases, and deployment pipelines.\nKey Responsibilities\nDesign, develop, and maintain frontend applications using React and Next.js.\nBuild, test, and deploy backend services and APIs (Python/Django/FastAPI preferred, but other languages/frameworks welcome).\nCollaborate with founders, growth team, designers, and other engineers to deliver high-impact features.\nEnsure scalability, performance, and security across the stack.\nImplement CI/CD pipelines, automated testing, and monitoring solutions.\nContribute to infrastructure planning, deployment, and optimization in cloud environments (AWS, GCP, or Azure).\nMentor junior developers and promote engineering best practices.\nRequired Qualifications\n5+ years of professional software engineering experience.\n\nProven experience with React and Next.js in production environments.\nStrong backend development skills (Python preferred)\nSolid understanding of relational and/or NoSQL databases.\nExperience with Git and collaborative development workflows.\nKnowledge of cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines.\nStrong problem-solving skills and a passion for building great products.\nExperience implementing background workers and task queues (Celery, RQ, etc.).\nProficiency with Redis for caching, pub/sub, or job queues.\nWhat We Offer:\nYou will be reporting directly to the founders, who have two successful venture-backed exits under their belt.\nCompetitive salary + equity\nSupportive and innovative work environment.\nOpportunity to help shape and build a generational company\nWhat you can expect:\nIt won't be easy; in fact, it will be very hard.\nBUT, it will be a lot of fun.\nYou need to be comfortable with being uncomfortable; timelines will change, priorities will most likely shift.\nTo conclude, we're building a team of like-minded, incredibly smart, tenacious individuals with relentless work ethic and focus, all driving towards our very clear revolutionary mission. 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