
Strategic AI Specialist
4 days ago
About Us
Downtime can be disastrous for modern enterprises.
BugRaid.AI is developing an intelligent incident copilot that can detect, diagnose, and resolve complex production incidents.
We are seeking a Senior AI Engineer or Research Scientist with experience in developing and deploying AI/ML systems at scale.
- Enterprise-Ready AI Development: Design, implement, and deploy AI agents that operate reliably under enterprise constraints.
- LLM & Agent Research: Develop and test reasoning workflows, prompting strategies, and tool-use policies specifically tailored for large-scale observability data.
- Training & Alignment: Utilize techniques such as fine-tuning, RLHF, and reward modeling to ensure AI behavior aligns with real SRE workflows.
- Synthetic Data Generation: Create scalable pipelines for producing synthetic incidents—logs, metrics, traces—used for training and benchmarking.
- Cross-Team Collaboration: Collaborate closely with infrastructure engineers, SREs, and product leaders to incorporate AI research into the platform.
- Production Excellence: Design systems with built-in observability, monitoring, and CI/CD processes, ensuring failover, rollback, and resilience capabilities.
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.
- Strong foundation in deep learning, reinforcement learning, or robotics.
- Hands-on experience with LLM fine-tuning, RLHF, or synthetic data generation.
- Proven track record of shipping AI systems into production.
- Experience with cloud-native architectures, Kubernetes, and MLOps tooling.
- Comfort working with large-scale data streams and vector databases.
- Strong collaboration skills and ability to communicate across research, engineering, and product teams.
Benefits:
- Work on high-impact AI challenges that sit at the intersection of AI, DevOps, and enterprise reliability.
- Shape the core intelligence layer of a product designed to be enterprise-ready from day one.
- Collaborate with a world-class founding team experienced in AI, DevOps, and large-scale systems.
- A culture that values research rigor, engineering excellence, and execution speed.
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