Software Engineer(AI & Data Systems) - Remote

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.

• 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.

• Receive 100% salary from the onboarding date.

• Participate in company activities: Team building, travel, vacation and other activities.

• Work with large and advanced systems, have the opportunity to develop comprehensive technology skills with complex problems, requiring high accuracy.