Senior AI Engineer
Tasks
- Build and integrate AI agents
- Deploy and operate services on Kubernetes
- Design and build agent harnesses
- Develop and maintain MLOps framework
- Fine tune foundation LLMs
- Implement secure coding and CI CD
- Manage datasets and training runs
- Orchestrate training evaluation and deployment pipelines
- Perform static analysis and code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Amazon Web Services | Argo | Autogen | Azure | CI/CD | CrewAI | GCP | Google Cloud | Helm | Integration Testing | KServe | Kubeflow | Kubernetes | Langchain | Langgraph | Llamaindex | LoRA | MLOps | MLflow | Microsoft Azure | Python | QLoRA | RLHF | SFT | SOLID | Secure Coding | Static Analysis | Triton | Unit Testing | VLLM | Vector Databases | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Engineer | Senior AI Engineer | Software Engineer
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