Job Description
- Design and implement scalable integration workflows between AI models, APIs, and enterprise systems.
- Build middleware layers, task queues, and orchestration logic for real-time and batch AI use cases.
- Work closely with backend teams to integrate AI models into production applications.
- Handle streaming data ingestion, transformation, and routing using message brokers and webhooks.
- Monitor AI service performance, failure rates, latency, and data pipeline health.
- Maintain secure API key management, versioning, and access control.
- Develop internal tools and wrappers for third-party AI APIs (OpenAI, Gemini, Hume, etc.).
- Automate workflows using Celery, Redis, Kafka, or similar tools.
- Ensure integrations are fault-tolerant, cost-efficient, and maintainable.
- Document integration specs, dependencies, and performance benchmarks.
Job Information
Country
Worldwide
Industry
Technology
Job Type
Full time / part time