{"id":3207354,"url":"https://alion.io/job/diebold-nixdorf-lead-fullstack-ai-development-engineer","title":"Lead Fullstack AI Development Engineer","company":{"id":675528,"name":"Diebold Nixdorf","domain":"dieboldnixdorf.com","url":"https://alion.io/company/dieboldnixdorf","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":16,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":61000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":47},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Go","optional":false},{"name":"GraphQL","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Next.js","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Redux","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"State Management","optional":false},{"name":"Tailwind CSS","optional":false},{"name":"TensorFlow","optional":false},{"name":"TypeScript","optional":false},{"name":"WebSockets","optional":false},{"name":"Zustand","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-08T13:28:28Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-26T06:32:44Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"We are seeking a highly talented and seasoned Lead Full-Stack Development Engineer with 8-12 years of\ndeep software engineering and machine learning production experience to drive the technical execution of our\nAI product suites. Operating embedded directly within the AI Product & Engineering team, this pivotal role\nserves as the primary engineering anchor responsible for designing, building, and deploying scalable,\nhigh-performance AI applications, interactive user interfaces, and robust production systems.\nYou will lead the end-to-end development lifecycle, bridging the gap between foundational AI research models,\ncloud data infrastructure, and user-facing software applications. Your core mission is to architect resilient\ncodebases, optimize inference pipelines, implement modern user interfaces, and establish automated DevOps\nguardrails that seamlessly transform cognitive AI capabilities into enterprise-grade, scalable business solutions.\n Full-Stack AI Product Architecture & Development\nLead the system design and full-stack development of production-grade AI applications, responsive\nfront-end interfaces, microservices, and user-centric features.\nArchitect scalable APIs and orchestration layers that connect core business logic with upstream Large\nLanguage Models (LLMs), agentic workflows, and predictive systems.\nEstablish rigorous engineering standards for code quality, comprehensive code reviews, automated\ntesting, and version control across the full development stack.\nFront-End Interface & User Experience Engineering\nArchitect high-performance web applications using modern front-end frameworks, ensuring exceptional\nresponsiveness, state management, and real-time data streaming (e.g., streaming LLM token responses).\nCollaborate closely with UI/UX engineers and Product Managers to convert design systems and visual\nwireframes into reusable, accessible component libraries.\nOptimize front-end application layers for speed, cross-browser compatibility, and seamless integration\nwith complex backend application logic.\nModel Deployment & RAG/LLM Optimization\nImplement and optimize enterprise-scale frameworks for Retrieval-Augmented Generation (RAG),\nmulti-agent orchestration, and prompt engineering pipelines.\nIntegrate and manage custom vector databases ensuring sub-second API\nresponses through efficient indexing, caching, and database query optimization\nEnsures team-wide application of standard operating procedures for development, deployment, support, break-fix and systems management.\nAssesses usage and utilization trends to make design and implementation recommendations toward scaling the company's architecture.\nWrites and maintains software build systems and supporting tools including continuous integration, packaging and deployment.\ncollaborates with others to troubleshoot and resolve escalated production, integration or application issues.\n Required Qualifications\nProfessional Experience: 8-12 years of proven success in full-stack software engineering roles, with at\nleast 3+ years actively leading technical teams and deploying commercial AI/ML-powered web products into\nproduction environments.\nFront-End Engineering: Expert proficiency in React.js, Next.js, TypeScript, and modern state\nmanagement libraries (e.g., Redux, Zustand) alongside HTML5, CSS3, and Tailwind CSS.\nCore Backend Languages: Expert-level software development proficiency in Python, Java, or Go, paired\nwith deep experience in enterprise backend development environments and API design (RESTful,\nGraphQL, WebSockets).\nAI & Machine Learning Frameworks: Advanced proficiency building with orchestration and deep learning\nframeworks, specifically LangChain, LlamaIndex, PyTorch, TensorFlow, and agentic platforms (e.g.,\nAutoGen, CrewAI).\nCI/CD & MLOps Infrastructure: Robust experience managing application containerization, cluster\norchestration, and automated pipelines utilizing Docker, Kubernetes, GitHub Actions, GitLab CI, or\nJenkins.\nAI & Database Ecosystems: Hands-on expertise with vector databases modern database stacks, and large-scale semantic search\ninfrastructures.\nSoftware Design Patterns: Superior understanding of distributed systems architecture, microservices,\nasynchronous event-driven programming, and caching strategies.\nAgile Engineering Leadership: Documented success leading engineering sprints, mentoring mid-to-senior\nfrontend and backend developers, and serving as the ultimate system-level Subject Matter Expert (SME) to\nachieve delivery goals\nGood business English skills (Written and spoken).","description_format":"text","description_chars":4549,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["POS Systems","POS Terminals & 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