What are the responsibilities and job description for the Full-stack Software Engineer position at Scout AI?
Intro
Scout AI is a new hiring platform that connects software engineers to opportunities with world-class companies. On Scout, you get a more relevant and growthful interviewing experience, you receive feedback on your performance, and you also get end-to-end support to improve your chances of getting hired.
If you perform well on the Scout interview, you become eligible for opportunities with all companies in the Scout network (only complete the interview once).
This role is with our partner company that is actively hiring:
Rebar AI
About the company
Rebar is building the next-generation operating system for commercial HVAC suppliers and contractors. In just five months, we've launched V1 of our first product and grown revenue 10x. Backed by Founder Collective and top HVAC industry angels, our goal is to perfect our first product and continue scaling rapidly through 2025.
About the Role
We're looking for a driven, experienced full-stack engineer to help us build the future of HVAC.
Responsibilities
- End-to-End Development: Design and implement modern, responsive websites, 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 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
Required Qualifications
- Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or other relevant 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
Nice to Have
- 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 products
Compensation and Benefits
- 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
This is a salaried, onsite role located in our new office in New York City's beautiful Flatiron district, just minutes away from Madison Square Park and Union Square.
Working onsite offers invaluable opportunities for real-time collaboration, creative problem-solving, and building strong connections within our talented and dynamic team.
You'll be at the heart of our fast-paced operations, actively contributing to a culture that values engagement, growth, and teamwork.
Salary : $140,000 - $160,000