
Building Scalable AI Solutions
6 days ago
We're building a platform of autonomous AI agents for data collection, labeling, and intelligent analysis.
The ideal candidate is comfortable working with cloud-native technologies and building scalable APIs optimized for AI-scale interaction.
Key Responsibilities:- Build performant, production-grade backend APIs and services using serverless architectures and containerized applications.
- Integrate structured and unstructured data access layers with AI orchestration frameworks.
- Architect retrieval pipelines using vector databases to enable semantic search for AI agents.
- Coordinate with data engineers to support workflows across a shared data lake.
- Develop and maintain task routing, memory management, and agent orchestration logic.
- Contribute to platform-level observability, metrics, logging, and diagnostics for agentic tasks.
- 4+ years of backend development experience, with strong programming skills (Python, Node.js).
- Deep experience with serverless architectures, microservices, and cloud platforms.
- Familiarity with AI orchestration frameworks and semantic search technologies.
- Working knowledge of database design expertise, particularly with relational databases.
- Experience building scalable, low-latency backend systems for AI or data platforms.
- Experience with agentic AI systems or orchestration of multi-agent workflows.
- Understanding of complex system patterns in production.
- Comfortable with large model orchestration in cloud-native environments.
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