Senior AI Engineering Lead

1 day ago


Kurnool, Andhra Pradesh, India beBeeEnterpriseReady Full time ₹ 15,00,000 - ₹ 30,00,000
Agentic AI Engineer - Job Description

Incident Copilot Development

BugRaid.AI is developing an enterprise-ready incident copilot that can detect, diagnose, and resolve complex production incidents. We are seeking a Senior AI Engineer or Research Scientist with practical experience in developing and deploying AI/ML systems at scale.

The ideal candidate will design, implement, and deploy AI agents that operate reliably under enterprise constraints. They will experiment with LLMs, reinforcement learning, and synthetic data and implement these concepts into scalable and dependable systems.

  • Develop and test 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.
  • Collaborate closely with infrastructure engineers, SREs, and product leaders to incorporate AI research into the BugRaid.AI 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.
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.
Why Choose This Role?
  • Competitive compensation and equity.
  • A culture that values research rigor, engineering excellence, and execution speed.

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