{"id":2552535,"url":"https://alion.io/job/hire-overseas-ai-engineer-full-stack-egs647","title":"AI Engineer (Full-Stack) (EGS647)","company":{"id":3912884,"name":"Hire Overseas","domain":"hireoverseas.com","url":"https://alion.io/company/hire-overseas","size_band":"5000+","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":75,"open_postings":14,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"US time zones","utc_offset_min":-8,"utc_offset_max":-5},"hiring_geo_confidence":"inferred","locations":["Lagos, Nigeria","Cape Town, South Africa","Pretoria, South Africa","Mexico City, Mexico","San José, Costa Rica"],"countries":["NG","ZA","MX","CR"],"hiring_countries":["MX","NG","ZA","CR"],"hiring_countries_total":4,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"n8n","optional":true},{"name":"Replit","optional":true}],"status":"live","first_seen_at":"2026-05-08T00:00:00Z","employer_posted_date":"2026-05-08","last_verified_at":"2026-10-15T16:29:23Z","board_verified":true,"closed_at":null,"days_open":160,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":160},"description":"We're looking for a Full-Stack AI Engineer who builds production AI systems using Claude Code as a primary development tool. This role is for someone who combines strong full-stack engineering fundamentals with hands-on experience shipping AI-powered products, automations, and intelligent workflows into real environments.\nClaude Code is not optional here. You use it daily, you know how to get the most out of it, and it makes you meaningfully faster and better than engineers who do not. On top of that, you can design and build across the full stack, from backend services and APIs to frontend interfaces and AI integration layers, and you take ownership of systems end to end without needing close direction.\nIf you build full-stack AI systems, ship automations that actually run in production, and use Claude Code as a core part of how you engineer, this role is built for you.\nWhy You'll Want to Join\nYou will be paid in USD (bi-monthly: every 15th and 30th)\nPaid Time Off in accordance with company policy\nObservance of Holidays per company guidelines\n100% remote setup so you can work wherever you're most productive\nHigh-ownership engineering role with direct impact on product and AI infrastructure\nOpportunity to design and ship AI-powered systems from the ground up\nDirect collaboration with product and engineering leadership\nWhat You'll Work On\nClaude Code and AI-Assisted Development\nUse Claude Code as your primary development tool for writing, refactoring, debugging, and shipping production code\nLeverage Claude Code to accelerate full-stack development without sacrificing quality or maintainability\nBuild editor utilities, automation scripts, and internal tooling using Claude Code workflows\nContinuously push the limits of what Claude Code enables across the stack\nFull-Stack AI System Development\nDesign and build full-stack AI systems including automations, intelligent workflows, AI agents, and LLM-integrated products\nIntegrate AI services, LLMs, and automation layers into both backend and frontend systems\nBuild guardrails, monitoring, and fallback mechanisms that keep AI systems reliable in production\nOptimize prompt architecture, model usage, and system performance across live environments\nBackend and API Architecture\nDesign and build scalable backend services, APIs, and data models that power AI features\nArchitect clean service layers connecting AI components with application logic\nEnsure performance, security, and long-term maintainability across the full stack\nFrontend and Product Integration\nDevelop and maintain frontend features and user-facing interfaces connected to AI systems\nCollaborate with product and design to translate requirements into robust, shippable systems\nOwn features from initial architecture through deployment and iteration\nEngineering Standards and Scalability\nWrite clean, well-tested, maintainable code that holds up at scale\nContribute to CI/CD pipelines, observability, and deployment workflows\nIdentify bottlenecks and propose automation or architectural improvements proactively\nWhat You Bring\n4+ years of professional software engineering experience with a strong full-stack background\nClaude Code fluency: you use it daily in production and it is a core part of how you engineer\nDemonstrated experience building and shipping full-stack AI systems in production including automations, AI agents, or LLM-integrated workflows\nStrong system design fundamentals including APIs, databases, and distributed systems\nProduct-oriented mindset with strong ownership and the ability to execute without heavy oversight\nFull availability during US business hours\nPreferred but not strictly required:\nExperience with TypeScript, Python, or similar backend technologies\nExperience with modern frontend frameworks\nExposure to cloud infrastructure such as AWS or GCP\nExperience with embeddings, vector databases, or retrieval systems\nNice to Have\nExperience building AI copilots, autonomous agents, or AI-assisted developer tooling\nFamiliarity with workflow automation platforms such as n8n, Make, or similar\nExperience with Replit for collaborative or cloud-based development workflows\nExposure to DevOps or infrastructure-as-code practices\nExperience building internal automation tools that reduce manual overhead at scale\nHow to Apply\nPlease include:\nYour updated resume\nA short Loom video (1 to 2 minutes) walking through a full-stack AI system you built in production, how you used Claude Code throughout the development process, and what the system actually does\nOnly candidates who submit a Loom video will be moved to the next step of the hiring process.\nIf you build full-stack AI systems that run in production, use Claude Code to ship faster and better, and want ownership over intelligent infrastructure that actually matters, this role gives you the technical depth and the autonomy to do your best work.\nApplication Process Overview\nOur comprehensive selection process ensures we find the right fit for both you and our clients:\nInitial Application - Submit your application and complete our prequalifying questions\nVideo Introduction - Record an video introduction to showcase your communication skills and work experience\n Role-Specific Assessment - Complete a homework assignment tailored to the position (if applicable)\nRecruitment Interview - Initial screening with our talent team\nExecutive Interview - Meet with senior leadership to discuss role alignment\nClient Interview - Final interview with the client team you'd be supporting\nBackground & Reference Check - Professional reference verification\n Job Offer - Successful candidates receive a formal offer to join the team\nEach stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. 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