Senior Backend Engineer

Firmus, powered by Bluebeam, is the leading AI platform for pre-construction design review and risk analysis, helping construction teams, detect design-related issues through intelligent document analysis.

Recently acquired by The Nemetschek Group through its subsidiary Bluebeam, we're uniquely positioned at the intersection of startup agility and enterprise scale.

We now have access to massive resources, an established customer base, and deep industry expertise, while maintaining our fast-moving, innovative startup culture.

The Team You'll join a lean, high-impact engineering team building a scalable AI engine that processes millions of construction plans to construct a comprehensive construction knowledge graph.

We're on a mission to build an intelligent system that understands construction at massive scale. This is a unique opportunity to work with the speed and creativity of a startup while leveraging the resources, customer access, and market reach of a multi-billion dollar global enterprise.

we are looking for a Senior Backend Engineer

Key Responsibilities :

• Design and implement scalable backend services for processing construction drawings and technical documents .
• 7+ years of backend development experience with Python, Go, or Java
• Make design decisions on the basis of performance, scalability, and future expansion.
• Build robust APIs for model inference, document ingestion, and results delivery
• Develop efficient data pipelines for preprocessing drawings, extracting features, and managing model inputs/outputs
• Implement model serving infrastructure supporting OCR engines, computer vision models, and generative AI systems
• Code review, mentoring junior engineers, and providing technical guidance to the team Technical Expertise
• Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
• Proficiency with databases (PostgreSQL, MongoDB) and message queues (RabbitMQ, Kafka) Experience with API design, microservices architecture, and event-driven systems
• Proficiency or strong interest in using AI-enabled developer tools to enhance architecture and engineering workflows.
• Degree or equivalent relevant experience required Preferred Qualifications
• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) and model serving platforms Proven track record deploying and scaling ML models in production environments