About the Role

We are looking for a Senior Software Engineer to lead the development of scalable AI-powered systems that process and extract insights from unstructured engineering documents-including CAD/BIM designs, technical reports, and regulatory documents.

In this role, you will design and deploy high-performance APIs, integrate AI/ML models, and ensure seamless interaction between React-based front-end applications and Python back-end services. You'll work closely with data scientists to bring cutting-edge AI models into production-ready, enterprise-grade solutions.

What You'll Do

Design, develop, and optimize scalable, AI-powered backend systems using Python (FastAPI, Flask, Django).
Build and maintain APIs that integrate LLMs (GPT, LLaMA), vision models, and RAG frameworks into enterprise applications.
Develop and optimize front-end applications using React, TypeScript, and modern UI frameworks.
Deploy AI-driven services on cloud (Azure, AWS, GCP) and on-prem environments, ensuring security and compliance.
Work with vector databases (FAISS, Pinecone, Weaviate) and structured/unstructured data storage solutions.
Implement CI/CD pipelines, DevOps, and MLOps best practices for scalable and reliable AI deployments.
Ensure system performance, security, and compliance, including RBAC, OAuth2, and API security.
Collaborate with data scientists and product teams to turn research models into real-world applications.

What We're Looking For

8+ years of experience in software engineering, focusing on backend, API development, and AI/ML integration.
Proficiency in Python (FastAPI, Flask, Django) and React (Next.js, TypeScript, Redux, or similar frameworks).
Strong knowledge of microservices, event-driven architectures, and RESTful/GraphQL APIs.
Hands-on experience deploying AI/ML models (LLMs, RAG, Vision AI) in production environments.
Experience with containerization (Docker, Kubernetes) and cloud deployment (Azure, AWS, GCP).
Familiarity with data processing pipelines (ETL, batch & streaming systems).
Strong understanding of security best practices in API development and AI-driven systems.
Ability to optimize and scale AI-powered applications for high performance and reliability.

Nice to Have

Experience with MLOps frameworks (MLflow, Kubeflow, Airflow).
Knowledge of CAD/BIM data processing (IFC, DXF, Revit API).
Experience with geospatial and engineering document workflows.
Contributions to open-source AI/ML or software engineering projects.

Why Join Us

Work on cutting-edge AI applications that impact engineering, urban planning, and beyond.
Be part of a high-performing, collaborative team of AI, data, and software experts.
Gain hands-on experience with the latest AI models, RAG frameworks, and multi-modal AI.

Senior Software Engineer - AI & Data Systems