Founding Engineer at Meltplan

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Founding Engineer at Meltplan. . Location: India - Remote. About MeltPlan. . Construction is the biggest industry in the world and on a declining productivity for last three decades. MeltPlan is at the forefront of revolutionizing construction industry through an innovative, construction-aware AI platform. Our mission is to eliminate the inefficiencies of manual processes and constant rework, offering a focused, AI-powered solution designed for the complexities of the built environment. We envision a "Melting Pot for the Built Environment", a singular platform that connects every stakeholder, from owners and architects to general contractors and specialty trades, fostering better plans and unlocking unparalleled value across the project lifecycle. Learn more about MeltPlan by reading our founders manifesto . here. . . . The Opportunity. . We are seeking a highly skilled and passionate . Founding Backend Engineer. to join our early team. As one of the first five engineers, you will play a pivotal role in shaping our core backend infrastructure, architecture, and engineering culture. This is a unique opportunity to contribute significantly to a product that will redefine the construction industry. You will work closely with the founders and future hires to build scalable, robust, and intelligent systems that power our AI solutions. . . People. . We take pride in the company we keep and want to maintain it that way. Our co-founder built fastest growing SaaS company from India in the past, $0 to $200 Mn ARR and $3 Bn+ valuation in 8 years, Innovaccer. Other co-founder used to manage $1 Bn construction projects ranging from most iconic office campuses in Silicon Valley to most sophisticated hospitals. Our CTO is a reputed AI research with more than 40 million downloads on his open source AI models which outcompete biggest AI labs on some benchmarks. You will join team of this caliber and we hope you raise our bar. More about our people . here. . . . What You'll Do. . . . Design, develop, and maintain highly scalable, reliable, and secure backend services for MeltPlan's AI-powered platform.. . . . Architect and implement core infrastructure, APIs, and data models to support products like Melt Code, Melt Takeoff, and Melt Coordinate.. . . . Work on cutting edge technology to do build sub-second real-time AI inference model production systems.. . . . Ensure the performance, security, and stability of our backend systems, making crucial technology stack decisions.. . . . Participate actively in technical discussions, code reviews, and architectural decisions.. . . . Help define and cultivate MeltPlan's engineering culture and best practices.. . . . Mentor and potentially lead future backend hires as the team grows.. . . . What We're Looking For. . . . Strong System Design & Scalability Expertise:. Proven ability to design and build distributed, scalable, and resilient backend systems. Experience with cloud platforms (AWS, GCP, Azure) and micro-services architecture is highly valued.. . . . Exceptional Problem-Solving & Adaptability:. A proactive, resourceful, and adaptable mindset, comfortable navigating ambiguity and rapidly evolving requirements in a startup environment. Ability to take ownership and drive solutions from conception to completion.. . . . Deep Technical Proficiency:. . . . Strong command of at least one modern backend programming language (e.g., Python, Go, Java, Node.js) and relevant frameworks.. . . . Extensive experience with database systems (SQL and/or NoSQL), including schema design, optimization, and data modeling.. . . . Expertise in designing, building, and maintaining robust APIs (REST, GraphQL).. . . . Solid understanding of clean code principles, testing methodologies, and version control (Git).. . . . . . Ownership & Communication:. A high degree of ownership over your work, with excellent verbal and written communication skills. Ability to articulate complex technical concepts clearly to both technical and non-technical stakeholders, and a strong desire to collaborate effectively within a small, dynamic team.. . . . Familiarity with AI/ML integration patterns and data pipelines is a plus.. .