{"id":849976,"url":"https://alion.io/job/oneorigin-full-stack-engineer-ai-augmented-development-code-intelligence","title":"Full-Stack Engineer: AI-Augmented Development & Code Intelligence","company":{"id":684397,"name":"Oneorigin","domain":"oneorigin.us","url":"https://alion.io/company/oneorigin","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":null},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"TypeScript","optional":false},{"name":"CI/CD","optional":true},{"name":"JavaScript","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-06-06T08:19:40Z","employer_posted_date":"2026-06-06","last_verified_at":"2026-10-06T20:26:28Z","board_verified":true,"closed_at":null,"days_open":122,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":121},"description":"About OneOrigin:\nOneOrigin is an AI-native technology company headquartered in Scottsdale, Arizona, with a growing innovation and delivery engine in Bangalore, India. Since 2016, we have helped education institutions move from reactive operations to intelligent, proactive systems that improve enrollment, admissions, transcript evaluation, student onboarding, student support, institutional search, and operational decision-making.\nOur current work is built around a connected AI ecosystem: OneAI as the intelligence foundation, Sia as the orchestration engine, OneSearch as the context and retrieval layer, and product platforms such as OneCampus, Airr, there24, OneGuide, and OneStudio. We build governed AI systems that combine agents, retrieval, automation, human review, auditability, and measurable outcomes.\nAt OneOrigin, AI is not a side tool. It is part of how we build, sell, support, operate, and improve.\nOur AI-Led Interview Process\nOur hiring process uses AI-led interviews and structured evaluations to understand how candidates think, communicate, solve problems, and use modern tools. You may be asked to complete an AI-assisted scenario, role-specific simulation, live problem-solving exercise, writing task, workflow design challenge, or technical evaluation.\nAI helps us make the process more consistent and practical, but final hiring decisions are reviewed by humans. We care less about memorized answers and more about judgment, clarity, ownership, learning speed, and how well you can turn a real-world problem into a useful outcome.\n Role Overview:\nWe are looking for a Full-Stack Engineer who can ship product features fast while using AI responsibly to increase velocity, quality, and consistency. This is not a role for someone who blindly accepts generated code. We need engineers who can use AI as leverage while still owning architecture, security, performance, testing, and maintainability.\nYou will build product features, internal tools, automation layers, code intelligence workflows, and developer experience improvements. You will also help shape how OneOrigin engineers use AI-assisted coding with discipline.\nWhat you'll own:\nBuild and ship full-stack features across React/Next.js, Node.js/Python, APIs, Postgres, and cloud services.\nImprove internal developer workflows using AI-assisted coding, repo indexing, code intelligence, scaffolding, and PR quality gates.\nCreate internal coding copilots and repo-aware prompts aligned to OneOrigin conventions.\nBuild automation around testing, linting, CI checks, documentation, and release confidence.\nReview AI-generated code for security, performance, edge cases, maintainability, and hidden assumptions.\nPartner with product, design, and AI teams to turn ambiguous requirements into clean product experiences.\nDocument patterns, reusable components, and engineering playbooks.\nWhat Success looks like:\nFeatures ship faster without reducing quality.\nAI-assisted development becomes structured, measurable, and repeatable.\nEngineering output improves because the system helps the team work better, not because people cut corners.\nYou should have:\nStrong full-stack fundamentals and production shipping experience.\nReact/Next.js, TypeScript, Node.js or Python, APIs, Postgres, and Git.\nSolid testing discipline across unit, integration, and end-to-end scenarios where needed.\nAbility to debug deeply and explain tradeoffs clearly.\nPractical understanding of AI coding tools and their limitations.\nNice to Have:\nMCP, internal developer platforms, monorepos, feature flags, code search, CI/CD automation, or AI code review workflows.\nAI-Led Interview Focus:\nYou may be asked to review AI-generated code, identify risks, improve a feature design, or build a small workflow with AI assistance. 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