Full-Stack Software Engineer

Lunartechai — Armenia · Posted ~2 days ago

Full-time Remote

Skills

Frontend development Backend development Web application development API design Data modeling Cloud deployment CI/CD Production operations Monitoring Logging Incident response Software engineering fundamentals Cross-functional collaboration Web applications APIs Cloud

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Summary

Join a selective, fast-moving engineering environment where you will build and ship production-grade web products, backend services, APIs, data workflows, and scalable systems. You will collaborate across product, design, and AI/ML teams while improving reliability, observability, deployment, and developer experience. The role offers structured mentorship, practical deliverables, and broad exposure to the full software delivery lifecycle. Candidates should be comfortable owning ambiguous problems, communicating proactively in a remote setting, and completing a technical assessment.

Highlights

End-to-end engineering ownership, structured mentorship, hands-on production projects, direct feedback from senior engineers, and exposure to AI-enabled products across several high-impact domains.

Description

Role DescriptionThe Software Engineering role is focused on building and shipping production-grade software across the frontend, backend, and the systems in between. You’ll collaborate with product, design, and AI/ML teams to deliver reliable user-facing experiences, robust APIs, and scalable services. What you’ll work on: Building and iterating on web product surfaces (dashboards, internal tooling, customer-facing apps)Designing and implementing backend services and APIs (auth, data access, integrations, workflows)Working with data pipelines and application data models to support AI-enabled featuresImproving performance, reliability, observability, and developer experienceContributing to deployment and release workflows (CI/CD), and operating what you shipCompany DescriptionLUNARTECH is a frontier deep-tech company focused on artificial intelligence across education, healthcare, aerospace, and other high-impact sectors. Recognized by publications including Forbes, Entrepreneur, Insider, Bloomberg, and Benzinga, the company has built an international presence with offices in North America and Europe and a team operating across seven continents and ten countries. Through more than 77 specialized AI programs, collaborations with the world’s largest open-source educational nonprofit, and engagement with over 1 million professionals across 144+ countries, LUNARTECH has established a global platform at the intersection of AI education, applied systems, and company building. The firm is defined by execution. LUNARTECH engineered solutions and partnered with numerous industry leading companies that operate in the spaces of healthcare, aerospace, uav’s, and engines, alongside cybersecurity, clean energy, robotics, world models, and other frontier initiatives. Through LUNARTECH Labs, it delivers end-to-end AI and data solutions, from data infrastructure and model development to deployment, monitoring, and continuous improvement, serving enterprises, institutions, and governments. It also develops Phoenix, its proprietary AI-powered productivity and automation platform with more than +300 AI Agents supporting research, analysis, operations, and workflow execution at scale. At its core, LUNARTECH is built on a clear principle: advanced technology matters only when it creates practical advantage. The company’s focus is to turn frontier AI into secure, scalable, and operational capability, enabling organizations to move with greater speed, sharper insight, and stronger strategic control. Why this role is a career acceleratorLunarTech operates at the frontier of applied AI and frontier technologies — where real constraints, real users, and real stakes meet cutting-edge engineering. You won’t be learning in the abstract. You’ll be learning by building. Our work spans high-impact domains such as: AI engineering and production-grade ML systemsVoice AI and conversational agentsLegal AI and workflow automationAerospace and advanced systemsHealthcare and clinical-adjacent applicationsManufacturing and industrial engineering use casesWe build in-house, end-to-end. That means you’ll see and contribute to the full stack of what it takes to ship: product thinking, UI/UX, data pipelines, model experimentation, evaluation, deployment, tooling, and iteration. We don’t outsource the hard parts — we own them. This role is intentionally selective. We protect our intellectual property, we move fast, and we expect focus. In return, you get an environment designed to create what we call “20X engineers”: builders who can take ambiguous problems, execute with discipline, and reliably deliver outcomes. If you are serious about accelerating your trajectory, this role is built to compress years of industry learning into months. It’s a bridge from “academy-level knowledge” to “industry-grade execution” — with mentorship, feedback loops, and real deliverables. What we invest in you: Structured mentorship and direct guidance from senior engineersHands-on projects with clear standards and measurable outcomesTools, playbooks, and internal guides to help you move fastAn engineering environment built for experimentation and shippingCollaboration with a high-caliber network of builders across the organizationThese openings are limited. When they open, strong candidates move quickly — because the upside is obvious. QualificationsStrong software engineering fundamentals and ability to ship end-to-end featuresExperience building modern web applications (frontend + backend)Comfortable designing APIs, data models, and service boundariesFamiliarity with cloud/deployment basics, CI/CD, and production operations (monitoring, logging, incident response)Strong communication skills and the ability to collaborate with engineers and non-engineersHigh ownership: you can take a problem from ambiguity to a reliable, tested deliverableBonus: experience with AI-enabled product features, evaluation workflows, or data pipelinesScreening QuestionsTo ensure the role is a good fit, please confirm the following upfront: You can complete a practical technical assignment as part of the evaluation process.You can work reliably in a remote setup and communicate progress proactively.You’re willing to sign onboarding documents prior to starting (including MoU, NDA, and related agreements).