About the Role
The company is seeking a Senior Backend Engineer (Node.js) to architect and build scalable APIs and data processing pipelines that power AI-driven systems. The role involves integrating ML models into production workflows, managing data orchestration, and ensuring the overall reliability and performance of AI services.
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Key Responsibilities
- Design and develop backend services using Nest.js and Node.js, with scalable REST and GraphQL APIs.
- Integrate machine learning inference endpoints, batch jobs, and model serving workflows.
- Collaborate with DevOps and ML engineers to deploy models, manage feature stores, and handle large datasets.
- Implement secure, high-performance backend systems with caching, queuing, and monitoring.
- Partner with AI engineers to wrap models into APIs and deploy them into production environments.
- Write reusable modules, implement unit/integration tests, and support CI/CD workflows.
Required Skills & Qualifications
- 5+ years of backend development experience using Node.js, including Nest.js.
- Proficiency in TypeScript, REST/GraphQL, PostgreSQL, and MongoDB.
- Experience with event-driven architecture (Kafka, RabbitMQ) and cloud platforms (AWS, Azure).
- Familiarity with containerization using Docker and orchestration with Kubernetes.
Optional but Desirable (AI-Focused Skills)
- Integration experience with ML model serving frameworks (FastAPI, Triton, TorchServe).
- Exposure to data pipeline tools such as Airflow, Kubeflow, or Dagster.
- Understanding of AI observability tools like Prometheus, EvidentlyAI, or Seldon Core.
