We are building next-generation software solutions for a specialized sector within the commercial and industrial space. In just five months, we’ve launched the first version of our product and grown revenue 10x. Backed by leading investors and industry veterans, our goal is to refine our technology and scale rapidly through 2025.
We're looking for a driven, experienced full-stack engineer to help us shape the future of this industry.
End-to-End Development: Design and implement modern, responsive web applications, focusing on front-end user experience while seamlessly integrating with back-end services and APIs.
AI/ML Integration: Collaborate with AI engineers to implement and maintain AI-powered solutions in production.
Cloud Infrastructure: Deploy and scale applications on AWS or GCP, optimizing for performance and reliability.
DevOps Practices: Set up CI/CD pipelines, containerization (Docker), and version control workflows.
Collaboration & Ownership: Participate in architectural decisions, system design, and ensure successful project delivery.
Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
Experience: 2+ years in full-stack development, ideally with exposure to AI/ML projects.
Front-End Skills: Proficiency in TypeScript and Next.js (or React) with an eye for UI/UX best practices.
Back-End Skills: Experience with Python/Node.js and RESTful APIs; comfortable debugging across the stack.
Cloud Expertise: Hands-on experience with AWS or GCP in production environments—deploying, scaling, and optimizing high-traffic web applications, including load balancing, autoscaling, and cost optimization strategies.
Databases: Familiarity with relational (PostgreSQL/MySQL) and NoSQL (MongoDB) databases.
DevOps: Knowledge of CI/CD pipelines (e.g., GitHub Actions), containerization (Docker), and version control.
Stay up to date with the latest technologies and industry trends to ensure continuous improvement.
Figma or UX/UI design skills.
Familiarity with WebSockets, GraphQL, or Kubernetes.
Experience building SaaS applications.
Proven track record of shipping AI-powered products.
Salary: $140K–$160K, dependent on experience.
Equity: Meaningful equity package, commensurate with experience.
Benefits: Comprehensive medical, dental, and vision coverage.
Perks: Free lunches and dinners provided.
Let me know if you want any further refinements!