Software Engineer - All Levels

Geniusai — United States · Posted ~2 hours ago

Skills

Software engineering AI engineering Product engineering Platform engineering Scalable systems Reliable systems AI Agentic AI

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Summary ✨ AI‑Generated

An innovative technology organization is hiring software engineers across experience levels to build an agentic AI workforce. Product engineers will turn advanced AI capabilities into customer-facing solutions, while platform engineers will create scalable, reliable foundations for these systems. This is an opportunity to help shape AI-driven automation from an early stage and work across challenging product and infrastructure problems.

Highlights

Join an engineering organization building agentic AI systems for business automation. Opportunities span product engineering at the intersection of AI and customer needs as well as platform engineering focused on scalable and reliable infrastructure, with openings across experience levels.

Description

About Genius AI Genius AI is building technology to help local businesses run themselves. Genius AI products do the admin work that keeps practitioners from the work they love and the people they serve. From GlossGenius to Reception, its products work 24/7 on busywork like booking, marketing, client management, finances, staff and inventory management, and more. Genius AI technology has saved businesses 106M in admin hours, earned them $2.0B in additional revenue, and facilitated more than 624M client touch points. About The Role Genius AI is building an agentic workforce: AI systems that act on behalf of appointment-based business owners, not just assist them. The engineers who join now will be the ones who architect it. We're hiring across two paths: product engineers who work at the intersection of AI capabilities and customer problems, shipping the features that put agentic tools directly in front of the businesses we serve; and platform engineers who build the scalable, reliable infrastructure that makes those AI products possible in the first place. Whichever path you're on, the expectation is the same: you build with AI as the default layer underneath how you work, not a tool you reach for occasionally. You must be commutable to our NYC headquarters and will operate in a hybrid environment. We default to being in-office 3–4 days per week with required attendance on Tuesdays and Thursdays. What We Work With We're open to engineers with different language backgrounds who are excited to grow. Our current stack: Kotlin (Micronaut, jOOQ), gRPC, protobufTypeScript / JavaScript (React, Redux)React NativeAWS, Kubernetes, Postgres, TerraformLinear What You'll Do Architect and ship AI-powered features that change how service businesses operate: not wrappers around existing tools, but net-new capabilities that weren't possible beforeBuild and maintain large-scale systems that process billions in payments and serve 120,000+ businesses, with reliability and performance as non-negotiablesUse AI to architect, debug, write, and review code, and hold a higher bar for your own output because of itOwn your work end to end: from technical design through production, with full accountability for what you ship and how it performsBuild the platform infrastructure that lets product teams move faster: scalable, extensible systems that remove friction rather than create itChallenge how we build: when you see a faster path or a better architecture, you're expected to make the case and drive it What We're Looking For 2+ years of professional software engineering experience, with demonstrated ownership of production systems, not just contributions to a team that owned themYou use AI to architect, debug, write, and review code, and you've shipped AI-powered features or systems, not just used AI-assisted editorsMove fast and make decisions: you don't wait for a fully scoped ticket to start thinking, you'd rather ship something real and iterate than spend weeks perfecting a planStrong analytical instincts for efficiency, scalability, and system reliability, you think about what breaks at scale before it breaks in productionEntrepreneurial ownership mindset, you treat the problems you're assigned as yours to solve, not tasks to completeCollaborative by default, you make the engineers around you better, not just the code you personally write Benefits & Perks Competitive health & dental insurance options, effective on your first day of employmentFlexible PTOIn-office lunch twice per week for NYC and SF employees, plus late night dinner stipendsAccess to Wellhub, a corporate wellness platform with discounted gym memberships, fitness classes, and mental health resourcesAnnual stipend for professional development and continued learningHigh performers at 5 years receive a generous stipend to use however you recharge best401k benefit: employees are eligible to contribute starting day 1 of employmentDependent Care FSAPaid parental leaveFertility and adoption benefits via Carrot and Kindbody At Genius AI, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. Genius AI is proud to be an Equal Opportunity and Affirmative Action Employer. Personal Information: Notice at Collection for Employees and Applicants Agency Submissions If a resume or applicant is submitted to Genius AI by a third party without a signed search agreement in place, it will become the property of Genius AI and no fee will be paid, irrespective of whether the candidate is hired. Genius AI may use automated tools, including artificial intelligence and machine learning systems (AI Tools), to assist in evaluating applicants’ qualifications and fitness for the position. These AI Tools may be used alongside human review during one or more stages of the recruiting process, including application screening, skills assessments, and interviewing. No final hiring decision will be made solely by AI Tools without human oversight. Compensation Range: $150K - $230K