{"id":4190833,"url":"https://alion.io/job/bask-health-software-engineer-ai-platform","title":"Software Engineer, AI Platform","company":{"id":66537,"name":"Bask Health","domain":"bask.health","url":"https://alion.io/company/bask-health","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":88,"open_postings":21,"ghost_share":0,"stale_share":0.286,"repost_share":0,"time_to_fill_p50_days":171,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"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":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Embeddings","optional":false},{"name":"Git","optional":false},{"name":"JavaScript","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"Amazon EventBridge","optional":true},{"name":"Anthropic","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"HIPAA","optional":true},{"name":"Node JS","optional":true},{"name":"OpenAI","optional":true},{"name":"Prisma","optional":true},{"name":"RAG","optional":true},{"name":"tRPC","optional":true}],"status":"live","first_seen_at":"2026-11-12T19:17:00Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-14T11:00:49Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Bask Health\nBask Health is a software platform that enables entrepreneurs, doctors, and healthcare businesses to launch, manage, and grow direct-to-consumer telehealth businesses.\nOur platform brings together patient experiences, clinical workflows, pharmacy operations, and commerce tools in one place.\nWe're an entrepreneurial, product-focused engineering team that values ownership, technical excellence, and building software that solves real problems. Engineers work closely with product teams and company leadership, take features from idea to production, and have a direct role in shaping the platform.\nEngineering at Bask is AI-first and builder-led. We use tools like Cursor and Claude Code throughout development while maintaining high standards for reliability, testing, and software quality.\nAbout the Role\nWe're looking for a Software Engineer, AI Platform to build and maintain the foundational software infrastructure that supports AI-powered applications across Bask Health.\nAs Bask expands its use of artificial intelligence across merchant tools, patient experiences, clinical workflows, pharmacy operations, and internal systems, we need reliable shared services that allow engineering teams to develop and deploy AI capabilities efficiently.\nThis role focuses on the platform infrastructure behind those applications. You'll build reusable APIs, model integration services, inference gateways, data access components, and operational tools that make it easier for other engineers to incorporate AI into production software.\nYou'll work with backend technologies, cloud infrastructure, databases, model providers, and distributed systems to develop scalable services that handle AI requests, manage application resources, and support reliable execution.\nYour work may include centralized model access, request routing, usage tracking, authentication, rate limiting, prompt configuration, observability, and infrastructure that supports retrieval and agent-based applications.\nYou'll collaborate with applied AI engineers, machine learning engineers, product engineers, and infrastructure specialists to understand their technical requirements and develop platform capabilities that can be reused across multiple products.\nBecause Bask operates in healthcare-related environments, you'll also help ensure AI infrastructure respects privacy requirements, tenant isolation, access controls, and approved data-handling practices. You'll design systems that allow teams to innovate without compromising security or reliability.\nThis is a hands-on engineering role with ownership over production infrastructure and shared developer capabilities. You'll write code, improve system architecture, investigate operational issues, and help establish engineering patterns that support Bask's growing AI capabilities.\nWe're looking for an engineer who enjoys building reliable backend systems, thinks carefully about scalability and developer experience, and understands how strong infrastructure enables teams to ship better products.\nWhat You'll Do\nDesign, build, and maintain shared infrastructure for AI-powered applications across Bask Health.\nDevelop backend services and APIs that support model integration and AI application execution.\nBuild reusable components that allow engineering teams to access large language models consistently.\nDevelop centralized model integration services and inference request handling.\nImplement routing and configuration capabilities for multiple model providers.\nBuild systems for managing model API credentials, authentication, and access permissions.\nDevelop request validation, structured output handling, and standardized error responses.\nImplement rate limiting, retries, timeouts, and fallback mechanisms for model API requests.\nBuild usage tracking and cost monitoring for AI services.\nDevelop infrastructure that supports prompt configuration, versioning, and controlled updates.\nCreate shared services for embeddings, retrieval, and knowledge-grounded AI applications.\nBuild APIs and integration patterns that support AI agents and workflow automation.\nDevelop secure data access components for AI applications.\nEnsure AI services respect tenant boundaries and application authorization requirements.\nBuild observability systems for model requests, latency, errors, and operational performance.\nImplement structured logging and distributed tracing across AI services.\nDevelop automated testing and deployment pipelines for AI platform components.\nImprove infrastructure reliability, fault tolerance, and service availability.\nOptimize backend performance, throughput, and infrastructure costs.\nDesign scalable asynchronous processing and background job systems.\nIntegrate AI platform services with existing application databases and backend infrastructure.\nBuild internal developer tools and documentation that simplify AI application development.\nCollaborate with applied AI engineers to identify common infrastructure needs.\nSupport machine learning engineers with reliable model-serving and evaluation integrations.\nInvestigate production incidents and resolve infrastructure-related failures.\nParticipate in architecture discussions, technical planning, and code reviews.\nEstablish reusable engineering patterns for secure and maintainable AI integrations.\nOwn assigned platform services from technical design through deployment, monitoring, and continuous improvement.\nRequirements\n3+ years of professional software engineering experience, preferably in backend, platform, or infrastructure engineering.\nDemonstrated experience building and maintaining production backend services.\nStrong programming skills in TypeScript, JavaScript, Python, or comparable backend languages.\nExperience designing and developing APIs and service integrations.\nStrong understanding of backend application architecture and distributed systems fundamentals.\nFamiliarity with large language models and modern AI application integration patterns.\nExperience integrating third-party APIs or external services into production applications.\nUnderstanding of authentication, authorization, and secure service communication.\nExperience working with relational databases and application data models.\nFamiliarity with asynchronous processing, background jobs, and event-driven systems.\nExperience designing systems that handle errors, retries, timeouts, and service failures.\nUnderstanding of cloud infrastructure and production deployment practices.\nFamiliarity with automated testing and continuous integration workflows.\nExperience working with logging, monitoring, and production observability tools.\nUnderstanding of system performance, latency, scalability, and reliability.\nExperience designing reusable software components and shared engineering services.\nFamiliarity with API versioning, configuration management, and service maintenance.\nUnderstanding of data privacy and secure application development.\nExperience using Git, code review, and collaborative software development practices.\nAbility to troubleshoot complex backend and infrastructure issues.\nExperience writing maintainable, well-documented production code.\nAbility to evaluate engineering tradeoffs involving performance, complexity, and operational costs.\nExperience collaborating with engineers across multiple product or technical teams.\nStrong technical problem-solving and analytical skills.\nAbility to independently own engineering projects from design through deployment.\nNice to Have\nExperience building infrastructure for AI or machine learning applications.\nFamiliarity with OpenAI, Anthropic, or comparable model APIs.\nExperience building model gateways, inference proxies, or centralized AI integration services.\nFamiliarity with multi-model routing and provider fallback strategies.\nExperience with TypeScript and Node.js backend development.\nFamiliarity with tRPC, Prisma, Drizzle, or similar application development tools.\nExperience working with AWS Lambda, SQS, EventBridge, or comparable cloud services.\nFamiliarity with serverless infrastructure and infrastructure-as-code tools.\nExperience with SST or similar application deployment frameworks.\nFamiliarity with containerization and distributed service deployment.\nExperience building systems for API rate limiting, usage metering, or cost allocation.\nFamiliarity with embeddings, vector databases, and retrieval infrastructure.\nExperience supporting retrieval-augmented generation applications.\nExperience building shared infrastructure for AI agents or automated workflows.\nFamiliarity with prompt management, versioning, and configuration systems.\nExperience implementing AI request tracing and model observability.\nExperience developing internal SDKs, libraries, or developer platforms.\nUnderstanding of multi-tenant SaaS architecture and data isolation.\nFamiliarity with HIPAA and healthcare data privacy considerations.\nExperience using AI-assisted development tools such as Cursor or Claude Code.","description_format":"text","description_chars":8985,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Telemedicine & Virtual 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