
Senior AI Development Specialist
16 hours ago
We are looking for a highly skilled Advanced AI Expert to join our team. The ideal candidate will have extensive experience in developing and deploying AI/ML systems at scale.
The successful candidate will be responsible for designing, implementing, and deploying AI agents that operate reliably under enterprise constraints, such as multi-cloud environments, zero data egress, and compliance requirements.
- Develop reasoning workflows, prompting strategies, and tool-use policies specifically tailored for large-scale observability data.
- Utilize techniques such as fine-tuning, RLHF, and reward modeling to ensure AI behavior aligns with real SRE workflows.
- Create scalable pipelines for producing synthetic incidents—logs, metrics, traces—used for training and benchmarking in scenarios with limited data.
The role requires a strong foundation in deep learning, reinforcement learning, or robotics, as well as hands-on experience with LLM fine-tuning, RLHF, or synthetic data generation.
The ideal candidate will have a proven track record of shipping AI systems into production and experience with cloud-native architectures (AWS/Azure/GCP), Kubernetes, and MLOps tooling (SageMaker, MLflow, Ray, Kubeflow).
Requirements:- 5+ years of production experience building and deploying ML/AI systems at scale.
- PhD or Master's in Computer Science, Machine Learning, or related fields (or equivalent experience).
- Strong collaboration skills and ability to communicate across research, engineering, and product teams.
This is an exciting opportunity for an experienced AI expert to drive BugRaid.AI's agentic intelligence forward and contribute to the development of innovative AI solutions.
Nice to Have:- Background in observability (logs, metrics, traces) or large-scale production debugging.
- Experience designing secure AI systems (data privacy, zero-data egress, compliance frameworks like HIPAA/FedRAMP).
BugRaid.AI is seeking an experienced Advanced AI Expert to join our team. This role is focused on designing, implementing, and deploying AI agents that operate reliably under enterprise constraints.
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