Software Engineer - AI Pipelines
Tasks
- Build and maintain agent deployment tooling
- Build internal tools and developer APIs
- Contribute to system architecture and technical decisions
- Coordinate distributed workflows
- Deploy and operate services on Kubernetes
- Design and implement backend services
- Implement observability logging tracing and debugging
- Implement workflow coordination systems
- Improve performance latency throughput and fault tolerance
- Manage state and tool integration
- Support CI CD pipeline for agent lifecycle management
- Write maintainable Python code for APIs
Perks/Benefits
Skills/Tech-stack
API | Asynchronous processing | CI/CD | Context Management | Debugging | Developer experience | Distributed Systems | Evaluation Frameworks | Fault Tolerance | Kubernetes | LLM Tool Integration | Language Models | Large Language Models | Latency optimization | Logging | MLOps | Machine Learning | Memory Management | Microservices | Model Serving | Observability | Python | RAG | Retrieval-Augmented Generation | Service Oriented | Service-Oriented Architecture | State management | Throughput Optimization | Tool integration | Tracing | Vector Databases | Workflow Orchestration
Education
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