{"id":124654,"url":"https://alion.io/job/yard-corporate-full-stack-engineer","title":"Full Stack Engineer","company":{"id":2912,"name":"Yard Corporate","domain":"yardcorporate.com","url":"https://alion.io/company/yard-corporate","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":73000,"max_usd":140000,"period":"year","method":"role_country_seniority_unknown","sample_n":939},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Anthropic","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true},{"name":"Next.js","optional":true},{"name":"Node JS","optional":true},{"name":"OpenAI","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"SQL","optional":true}],"status":"closed","first_seen_at":"2026-08-26T08:44:58Z","employer_posted_date":null,"last_verified_at":"2026-10-25T08:45:10Z","board_verified":false,"closed_at":"2026-10-25T08:45:10Z","days_open":60,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":60},"description":"Full Stack Engineer - AI Systems\nEmployment Type: Permanent Employment Contract (UoP / Umowa o Pracę)\nLocation: 100% Remote\nAbout the Project\nToday, over 5 billion people use basic applications like email, notes, and tasks that were not built as AI-native tools. Our mission is to build a proactive smart assistant for everyday users, bringing intelligence to conversations, errands, organization, and daily workflows with minimal prompting.\nOur product focuses on high reliability for long-running workflows, persistent context, and real-world task completion. We tackle multi-step reasoning, external tool integration, and model predictability. Our target is to help users complete daily tasks with over ~90% reduced time, creating an experience that feels truly magical.\nWe are a lean, world-class team with high talent density. We make decisions rapidly, strike a balance between high-quality output and fast iteration, and give our engineers the autonomy to execute independently.\nRole & Key Responsibilities\nAs a Full Stack Engineer - AI Systems, you will build the product layer that turns foundational AI capabilities into dependable, production-grade applications.\nEnd-to-End Product Engineering: Build features across the frontend, backend, and AI integration layers.\n\nAgent Architecture: Design agent workflows that effectively handle multi-step planning, tool execution, failure modes, and self-recovery.\n\nReal-time AI Interactions: Engineer responsive systems utilizing streaming, partial results, and tight latency constraints.\n\nSystem Reliability & Observability: Integrate LLMs, memory, and third-party tools into systems that perform consistently under real-world conditions.\n\nContinuous Iteration: Build robust fallback mechanisms and continuously improve system success rates based on evaluation metrics and user telemetry.\n\nWhat We Are Looking For\nStrong Full Stack Experience: Proven background building end-to-end features across frontend and backend stacks.\n\nSystem Design & APIs: Solid understanding of API architecture, data flow, and distributed system fundamentals.\n\nAI/LLM Experience: Hands-on experience working with LLMs, RAG architectures, or AI-powered features in production.\n\nHigh Ownership: Ability to take feature ownership from initial concept through design to production deployment.\n\nPragmatic Mindset: Comfortable making clear engineering choices in fast-moving, evolving environments.\n\nTech Stack\nFrontend / Backend: Next.js, Node.js, Python\n\nAI & Machine Learning: PyTorch, OpenAI / Anthropic / Open-source LLMs\n\nData & Infrastructure: SQL & NoSQL databases, Docker, Kubernetes\n\nWhat We Offer\nEmployment Contract (UoP): Stable employment with standard statutory benefits.\n\n100% Remote Work: Complete flexibility to work from anywhere.\n\nHigh Impact: Opportunity to shape an AI-native product reaching global scale.\n\nStreamlined Culture: High autonomy, low friction, and quick decision-making.\n\nInterview Process\nWe value your time and aim for a fast, transparent evaluation:\nOnline Coding Assessment (Practical skills validation)\n\nHR Interview (Introductory chat to align on background and expectations)\n\nTechnical Interview (Deep dive into system design, full-stack architecture, and AI concepts)\n\nFounder Interview (Final alignment on vision, culture, and high-level 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