Join our  team  

Backend Engineer

R&D

About Pelles.ai

Pelles is an early-stage construction tech startup building the leading AI platform for subcontractors. By transforming complex construction documents into actionable insights, Pelles.ai streamlines workflows, enhances collaboration, and automates the creation of deliverables tailored to industry needs. Our tools help subcontractors win more bids, save time, and achieve greater efficiency on every project

We’re looking for passionate problem-solvers with a can-do attitude to join us as one of the first members of our founding team. As an early team member, you’ll play a pivotal role in building our product and tech stack from the ground up, while also helping shape the culture and direction of the company.

What You’ll Do:

  • Design and develop scalable backend services and APIs using modern frameworks
  • Develop and optimize ETL pipelines to support data ingestion. This includes ensuring robust, efficient, and scalable data flows
  • Work closely with the co-founders and product team to define and deliver new features
  • Take ownership of infrastructure and deployment pipelines
  • Ensure reliability, performance, and security across the backend system
  • Integrate AI and data-driven components into core services

Requirements:

  • 3–4 years of hands-on backend development experience
  • Strong experience with at least one modern backend language (e.g., Python)
  • Proficiency with RESTful API design and development
  • Experience working with cloud platforms (e.g., AWS, GCP, or Azure)
  • Knowledge of database technologies — both SQL and NoSQL
  • Strong problem-solving and analytical thinking
  • Ability to work independently and in a fast-moving startup environment
  • Excellent communication skills and a team player mentality

Bonus points for:

  • Experience working with vector or graph databases (e.g., Faiss, Neo4j)
  • Familiarity with AI/ML pipelines and integration into backend workflows
  • Previous work with construction tech or document-heavy platforms (PDF/CAD)
  • Experience with containerization tools like Docker and orchestration (e.g., Kubernetes)
  • Interest in shaping engineering culture and best practices from the ground up

What we offer:

  • Opportunity to shape a product used by real construction professionals today
  • Be part of the R&D team in a fast-paced startup environment
  • Flexible hybrid work arrangement

To apply send your CV to career@pelles.ai