AI Infrastructure Specialist

9 hours ago

Vellore, Tamil Nadu, India beBeeEngineer Full time US$ 2,00,000 - US$ 2,40,000
Agentic System Developer

BugRaid.AI is building the world's first enterprise-ready agentic system – intelligent systems that can detect, diagnose, and resolve complex production incidents.

Our vision: autonomous reliability for enterprise infrastructure. Think AIOps meets generative AI, but designed from day one for security, scale, and production readiness.

Key Responsibilities
  • Design and deploy 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 like fine-tuning, reinforcement learning with human feedback, and reward modeling to ensure AI behavior aligns with real SRE workflows.
  • Collaborate closely with infrastructure engineers, SREs, and product leaders to incorporate AI research into the platform.
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 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.
  • Competitive compensation, equity, and a chance to join at an early stage with an outsized impact.
  • A culture that values research rigor, engineering excellence, and execution speed.

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