AI Integration Engineer
USA, MD, Annapolis Junction (308 Sentinel Dr) - Non Client Site, United States
USD 112K-257K Mid-level Full Time
Tasks
- Architect deploy and maintain scalable GPU computing environments
- Design secure tool calling environments with sandboxing
- Develop and optimize CI/CD pipelines for AI deployments
- Ensure network connectivity between distributed systems and APIs
- Integrate LLMs and AI workloads across infrastructure and pipelines
- Manage persistent state and long term memory for agent workflows
- Monitor infrastructure for availability security and performance
- Troubleshoot AI systems and infrastructure issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Arize Phoenix | Autogen | Azure | CI/CD | Cloud platform | CrewAI | DNS | Dask | Docker | ELK Stack | Encryption | Firewalls | GDPR | GPU Computing | Google Cloud | Google Cloud Platform | Grafana | Horovod | Kubeflow | Kubernetes | LLMs | Langchain | Langgraph | Langsmith | Load Balancing | MLOps | MLOps pipelines | MLflow | NVIDIA CUDA | NVIDIA DGX | NVIDIA NCCL | Networking | Nginx | Observability | PostgreSQL | Prometheus | Pulumi | RAG | Ray | Redis | Redis Stack | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | SOC 2 | TCP/IP | TensorFlow Serving | TensorRT | Terraform | Vector Database | Vertex AI
Education
Roles
AI | AI Integration Engineer | DevOps | DevOps Engineer | Engineer | Integration Engineer | MLOps Engineer
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