Backend + AI Integration

• Strong backend programming experience in Node.js (preferred), Python (FastAPI, Flask, Django), or Java (Spring Boot). • Proficient in building and scaling RESTful APIs and GraphQL endpoints. • Experience deploying and integrating AI/ML models into backend systems. • Proficient in database design and optimization: PostgreSQL, MongoDB, Redis, Neo4j. • Experience with cloud platforms such as AWS, GCP, or Azure. • Working knowledge of containerization and orchestration: Docker, Kubernetes. • Strong understanding of API security protocols: OAuth2, JWT, RBAC. • Familiarity with DevOps and CI/CD practices. • Bachelor's or master's degree in computer science, Engineering, or a related field.

Preferred Qualifications

• Experience with EDA tools or AI-driven design automation platforms. • Background in real-time interface systems or stream processing. • Prior work with custom AI pipelines or AI workflow orchestration.

• Design and develop robust backend architectures using Node.js (preferred) or Python (FastAPI, Flask, Django). • Integrate AI/ML models into production via REST/GraphQL APIs, TensorFlow Serving, ONNX, or containerized pipelines. • Build and maintain microservices for real-time and batch AI inference. • Ensure secure API design, handling OAuth2, JWT, RBAC, and other authentication and authorization mechanisms. • Optimize database performance for high-throughput systems using PostgreSQL, MongoDB, Neo4j (GraphDB), Redis, or Firebase. • Collaborate with AI/ML engineers to understand model requirements and deliver low-latency integration pipelines. • Implement best practices for scalability, fault tolerance, and system observability. • Work with DevOps teams to automate deployment via CI/CD pipelines (Jenkins, GitHub Actions) and manage infrastructure using Docker, Kubernetes, and • Terraform.