{"id":2309046,"url":"https://alion.io/job/siemens-healthineers-ai-native-software-developer","title":"AI Native software Developer","company":{"id":20165,"name":"Siemens Healthineers","domain":"siemens-healthineers.com","url":"https://alion.io/company/siemens-healthineers","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"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":{"min_usd":18000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":31},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"Angular","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Docker","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"AI Agents","optional":true},{"name":"Copilot","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-11T00:00:00Z","employer_posted_date":"2026-10-11","last_verified_at":"2026-10-25T10:55:49Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"Job RequirementsAt Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.\nOur purpose is to empower healthcare providers with innovative, reliable, and intelligent technologies that improve patient outcomes and make healthcare more accessible. By combining advanced medical devices, intelligent software, and modern engineering practices, we build solutions that address real-world healthcare challenges while ensuring sustainability and long-term impact.\nAs AI transforms the way software is engineered and experienced, we are looking for AI-Native Software Developers who can leverage AI throughout the software development lifecycle while building secure, scalable, and intelligent healthcare applications.\nRole Overview\nAs an AI-Native Software Developer, you will design, develop, and maintain high-quality software while effectively leveraging AI to accelerate engineering productivity and enhance software capabilities. You will integrate AI-powered services into applications, validate AI-generated outputs, and apply responsible AI principles to deliver reliable, secure, and scalable healthcare solutions.\nYou will collaborate with cross-functional teams to deliver innovative products while continuously adopting emerging AI technologies and modern engineering practices.\nKey Responsibilities\nAnalyze business and technical requirements and identify opportunities to incorporate AI capabilities where they add value.\nDesign, develop, and maintain secure, scalable, and high-quality software solutions using modern engineering practices.\nLeverage AI-assisted engineering practices to improve productivity while validating AI-generated code, tests, and documentation.\nIntegrate AI-powered features, services, or intelligent agents into applications using enterprise AI platforms and context engineering principles.\nEnsure software quality, reliability, and performance through automated testing, continuous delivery, and validation of AI-enabled features.\nApply secure coding and responsible AI practices to ensure privacy, compliance, and trustworthy AI solutions.\nCollaborate across global teams and continuously adopt emerging technologies to drive engineering excellence.\nQualifications\nBachelor's or Master's degree in Computer Science/Software Engineering/Information Technology, or related discipline.\n4-7 years of experience in software development using modern engineering practices.\nStrong understanding of software architecture, object-oriented design, and design patterns.\nExperience developing enterprise-scale cloud-native applications.\nTechnical Skills\nSoftware Engineering\nC# , .NET / .NET Core\nREST APIs, Microservices\nAngular / React / JavaScript / TypeScript /HTML5 / CSS\nCloud & DevOps\nMicrosoft Azure (preferred)\nDocker / Kubernetes\nAzure DevOps, CI/CD pipelines\nInfrastructure as Code (desirable)\nAI Engineering\nExperience integrating AI services or Large Language Models into applications.\nFamiliarity with AI-assisted software development tools (e.g., GitHub Copilot or equivalent).\nUnderstanding of context engineering principles for enterprise AI applications.\nKnowledge of Retrieval-Augmented Generation (RAG) concepts and AI orchestration frameworks is desirable.\nFamiliarity with AI evaluation, guardrails, and responsible AI practices.\nSoftware Quality\nTest automation\nTDD / BDD\nSecure coding\nPerformance optimization\nObservability and monitoring\nBehavioral Competencies\nStrong analytical and problem-solving skills.\nGrowth mindset with passion for continuous learning.\nAbility to effectively collaborate across global teams.\nStrong communication and stakeholder management skills.\nAbility to balance engineering excellence with rapid innovation.\nOwnership mindset and commitment to delivering customer value.\nPreferred Qualifications\nExperience developing healthcare software or regulated products.\nFamiliarity with medical device software standards and secure software development practices.\nExposure to AI agents, workflow automation, or enterprise AI platforms.\nContributions to open-source projects or developer communities are an advantage.\nWork Experience\nSoftware Engineering\nC# , .NET / .NET Core\nREST APIs, Microservices\nAngular / React / JavaScript / TypeScript /HTML5 / CSS\nCloud & DevOps\nMicrosoft Azure (preferred)\nDocker / Kubernetes\nAzure DevOps, CI/CD pipelines\nInfrastructure as Code (desirable)\nAI Engineering\nExperience integrating AI services or Large Language Models into applications.\nFamiliarity with AI-assisted software development tools (e.g., GitHub Copilot or equivalent).\nUnderstanding of context engineering principles for enterprise AI applications.\nKnowledge of Retrieval-Augmented Generation (RAG) concepts and AI orchestration frameworks is desirable.\nFamiliarity with AI evaluation, guardrails, and responsible AI practices.\nSoftware Quality\nTest automation\nTDD / BDD\nSecure 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