{"id":60982,"url":"https://alion.io/job/butterflymx-principal-ai-native-software-engineer","title":"Principal AI-Native Software Engineer","company":{"id":4872,"name":"ButterflyMX","domain":"butterflymx.com","url":"https://alion.io/company/butterflymx","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":215000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Edge AI","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"MySQL","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"Go","optional":true},{"name":"JavaScript","optional":true},{"name":"Ruby","optional":true},{"name":"Ruby on Rails","optional":true}],"status":"live","first_seen_at":"2026-08-17T13:56:18Z","employer_posted_date":"2026-08-17","last_verified_at":"2026-10-18T04:24:57Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"Our Mission\nButterflyMX is on a mission to empower people to open and manage doors & gates from a smartphone. Our products are installed in more than 20,000+ multifamily, commercial, gated communities, and student-housing properties worldwide, including properties developed, owned, and managed by the most trusted names in real estate. Our features are designed for developers, owners, property managers, and tenants and our products lower operating costs and improve tenant satisfaction.\nOur Solution\nDevelopers and owners no longer need to run building wiring or install in-unit hardware. Property managers can grant building access, revoke permissions, and review entry logs from an online dashboard. Residents can open doors from their smartphones, issue visitor access, and see who is trying to enter the building.\nOur Culture & Values\nFantastic people are the key to our success. As a distributed, primarily remote workforce, we’re looking for more intelligent, passionate, collaborative, ai-forward, and down-to-earth individuals to join our growing team. We’re driven by a shared commitment to excellence and innovation, grounded in our core values: We delight our customers, We take ownership, We are a community of collaborators, We speak up, We think big and do small, and We are tenacious.\nRole Overview\nWe are looking for an exceptional Principal or Staff-level engineer who has fundamentally changed how they build software because of AI. This is not a traditional software engineering role with an AI assistant bolted on. We want someone who uses AI agents, especially Claude Code, to independently take well-defined product initiatives from business requirements to secure, tested, production-ready software.\nThe ideal candidate is an excellent backend engineer first, grounded in our stack: TypeScript services, MongoDB and relational data, and cloud infrastructure across AWS and GCP. AI dramatically increases your output, but your engineering judgment is what makes that output valuable.\nIn this role, you will work closely with our Product and Design teams. You will operate with unusually broad engineering ownership. You may clarify requirements with Product, develop the technical specification, work through implementation details with Design, coordinate multiple coding agents, review their work, deploy the application, manage its infrastructure, and continue improving the product after launch.\nThe ideal candidate is already working this way. You routinely operate several Claude Code sessions or agents in parallel. You know how to divide work across agents, provide them with the right context, establish effective feedback loops, and keep multiple workstreams moving without losing control of quality or architecture.\nYou believe manually writing code should become a relatively rare part of software development. But you are not impressed by code merely because an AI generated it. You recognize over-engineered \"AI slop,\" unnecessary abstractions, sprawling diffs, weak tests, insecure implementations, and solutions that are technically functional but fundamentally poor.\nResponsibilities\nPartner with Product and Design\nWork closely with Product to understand business requirements, intended user outcomes, priorities, constraints, and acceptance criteria.\n\nTranslate Product's business requirements into clear technical requirements, implementation plans, system behaviors, and engineering tasks.\n\nIdentify technical ambiguities, dependencies, risks, edge cases, and tradeoffs that must be resolved before or during implementation.\n\nAsk the questions necessary to ensure the engineering solution addresses the actual product need.\n\nPartner with Design to understand intended user workflows and translate designs into complete, functional product experiences.\n\nProvide Product and Design with clear feedback when requirements or designs introduce unnecessary complexity, technical risk, security concerns, or operational challenges.\n\nPreserve the intent of the product requirements while making sound technical and implementation decisions.\n\nCommunicate progress, tradeoffs, risks, and changes in scope clearly throughout development.\n\nBuild and Own Products End to End\nTake approved product initiatives from business requirements through technical design, implementation, deployment, and ongoing operation.\n\nManage several products or major engineering initiatives with limited day-to-day oversight.\n\nDevelop complete technical requirements from the business and product requirements supplied by Product.\n\nMake thoughtful architectural, implementation, security, infrastructure, and operational tradeoffs within an established platform direction.\n\nDesign, build, and maintain efficient, reusable, reliable, and testable code; identify bottlenecks and bugs, devise solutions, and propose optimizations.\n\nDeliver working software quickly while maintaining high standards for reliability, maintainability, security, and user experience.\n\nOwn the technical execution of a product rather than waiting for every implementation detail to be specified.\n\nContinue improving products after launch based on feedback, usage, defects, and changing requirements.\n\nOperate an AI-Native Development Environment\nUse Claude Code as a primary development environment and orchestration layer.\n\nRun multiple agents, sub-agents, worktrees, branches, or development sessions in parallel.\n\nDecompose technical requirements into work that can be executed safely and effectively by different agents.\n\nDesign reusable Claude Code skills, commands, hooks, context files, agent instructions, and development workflows.\n\nProvide agents with the technical requirements, architectural context, constraints, designs, examples, and verification methods necessary to produce high-quality work.\n\nBuild feedback loops in which agents review, test, critique, and improve one another's output.\n\nUse agents to investigate unfamiliar systems, understand legacy code, create implementation plans, write code, generate tests, review changes, prepare pull requests, and assist with releases.\n\nContinuously improve the systems, instructions, and tooling that make your own AI-assisted development more reliable and scalable.\n\nAutomate the Product Development Lifecycle\nHelp automate the engineering portions of the product development lifecycle, including:\n\nTranslating business requirements into technical requirements\n\nTechnical discovery and architecture\n\nImplementation planning\n\nDesign and UX implementation\n\nSoftware development\n\nAutomated testing\n\nSecurity analysis\n\nCode review\n\nPull-request creation and iteration\n\nInfrastructure provisioning\n\nDeployment\n\nMonitoring and operational support\n\nDocumentation and maintenance\n\nCreate workflows in which agents can execute substantial portions of the development lifecycle while preserving appropriate human judgment and control.\n\nEstablish clear quality gates so that agent-generated work is verified rather than accepted on faith.\n\nDevelop methods for measuring the effectiveness, quality, cost, and speed of AI-native engineering workflows.\n\nReduce the manual coordination and repetitive work required to move from an approved product requirement to deployed software.\n\nMaintain Exceptional Engineering Quality\nReview agent-generated code with the judgment expected of a Principal or Staff engineer.\n\nReject unnecessary complexity, excessive abstraction, inappropriate frameworks, duplicated logic, and changes that are much larger than the problem requires.\n\nPrefer focused, understandable solutions: for example, an eight-file targeted change rather than an eighty-file rewrite when both accomplish the same result.\n\nEnsure software is appropriately tested, observable, secure, maintainable, and production-ready.\n\nUnderstand how systems work beneath the abstraction layer rather than treating AI output as a black box.\n\nDebug complex issues across application code, infrastructure, data systems, third-party services, and development tooling.\n\nKnow when the AI is wrong, when its proposed approach is risky, and when direct engineering intervention is necessary.\n\nEnsure implementations satisfy the agreed product requirements and acceptance criteria without adding unnecessary scope.\n\nWork Across Our Stack and Beyond\nBring deep, hands-on expertise in our core stack - Ruby on Rails, production TypeScript/Node.js, MongoDB and relational data, and cloud infrastructure across AWS and GCP.\n\nUse Claude Code to move confidently into adjacent or unfamiliar codebases - Android, iOS, Go, and others - developing enough understanding to make sound architectural and implementation decisions without waiting for a specialist.\n\nWork across frontend, backend, mobile, infrastructure, integrations, and internal tooling as needed.\n\nManage infrastructure and deployment workflows across AWS and GCP.\n\nImprove legacy systems rather than avoiding them or insisting that everything be rewritten.\n\nRequirements\nSignificant experience operating at the Staff, Principal, or equivalent engineering level, with 8+ years of professional software development experience.\n\nA track record of independently delivering complex, production software in partnership with Product and Design teams.\n\nExpert-level experience with Claude Code. This is a mandatory requirement. You must be able to demonstrate substantial product development with Claude Code - not merely autocomplete, isolated code generation, or simple prompting.\n\nExperience coordinating multiple AI agents or development sessions in parallel, with a deep understanding of agent context, skills, sub-agents, tool use, planning, verification, and orchestration.\n\nProduction experience with both a dynamic language ecosystem and a strongly-typed one. Production TypeScript/Node.js experience is required.\n\nExperience with relational databases (PostgreSQL, MySQL) and document/NoSQL databases. MongoDB experience is required.\n\nHands-on experience deploying and operating production software in a distributed, cloud-based environment (e.g., AWS EC2/ECS, Lambda, Cloud Run) within a service-oriented or micro-service architecture, across AWS, GCP, or both.\n\nHands-on experience applying AI/ML in production. For example integrating LLMs or other models into products or workflows, building retrieval or agentic systems, prompt/eval design, or on-device/edge inference.\n\nExtensive experience developing and maintaining APIs and integrating with third-party APIs.\n\nStrong experience with automated CI/CD pipelines and a deep understanding of testing what, when, and how to test.\n\nStrong ability to translate business and product requirements into technical requirements and implementation plans.\n\nStrong product judgment, including the ability to understand user intent, identify edge cases, and recognize when an implementation does not satisfy the underlying requirement.\n\nStrong understanding of software design, architecture, security, reliability, scalability, and maintainability.\n\nAbility to review AI-generated code critically and distinguish high-quality engineering from superficially functional output.\n\nComfort working across unfamiliar programming languages, frameworks, and legacy systems, using AI to accelerate that work.\n\nStrong ownership, initiative, and bias toward building.\n\nExcellent written and verbal communication, particularly when expressing technical requirements, constraints, implementation plans, and engineering decisions to both business and technical audiences.\n\nCompensation\nThe expected base salary range for this position is $215,000 -$250,000. Actual compensation will depend on factors including budget, skills, experience, location, and internal equity. This position may also be eligible for bonuses, equity, or other forms of compensation, where applicable.\nBenefits\nComprehensive Medical, Dental and Vision plans (ButterflyMX covers 80% of the cost) starting day 1\n\n401(k) plan with a match\n\n10 paid holidays, 20 vacation days, 5 sick days, 3 floating holidays\n\nBasic Life...","description_format":"text","description_chars":13069,"description_truncated":true,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["PropTech","Access Control & Alarm Systems"],"lifecycle":[{"event":"open","at":"2026-08-17T13:56:18Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1 · green card filings: 2","filings_12m":1,"filings_prev_12m":2,"green_card_filings_12m":2,"median_offered_wage_usd":132500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1}],"liveness":{"score":35,"band":"fade","label":"Fading","p_open":1,"p_active":0.789,"p_room":0.44,"age_days":60,"expected_fill_days":41,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/butterflymx-principal-ai-native-software-engineer","json_url":"https://alion.io/job/butterflymx-principal-ai-native-software-engineer.json","meta":{"generated_at":"2026-10-18T07:11:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10753,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4872},"rest":"https://alion.io/mcp/rest/get_company?id=4872"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbutterflymx-principal-ai-native-software-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fbutterflymx-principal-ai-native-software-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fbutterflymx-principal-ai-native-software-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/butterflymx-principal-ai-native-software-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbutterflymx-principal-ai-native-software-engineer"}]}