Software Engineer, AI Agents and Software Platforms
Tasks
- Architect AI agent integration frameworks
- Build scalable APIs
- Define secure reliable agent system guidelines
- Design CI/CD pipelines
- Develop tooling and automation for agent onboarding
- Enhance observability for agent fleets
- Implement MLOps workflows
- Implement access control and interaction protocols
- Optimize agent performance latency resource usage
- Test deploy monitor AI agent services
- Troubleshoot integration issues between AI agents and applications
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Ansible | Azure | C++ | CI/CD | Docker | GCP | GRPC | Inference Server | Inference Serving | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Microservices | Milvus | Model Serving | Observability | Pinecone | PyTorch | Python | REST API | TensorFlow | Terraform | Transformers | Triton Inference | Triton Inference Server | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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