Large-Scale AI Systems Engineer

8 hours ago

Mount Abu, Rajasthan, India beBeeReliabilityEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Incidents can be devastating to modern enterprises.

About Enterprise Reliability

We are developing intelligent systems that detect, diagnose, and resolve complex production incidents across massive streams of data.

Our vision is autonomous reliability for enterprise infrastructure. Think AI meets DevOps, but designed from day one for scalability and production readiness.

Job Description

We are seeking an experienced AI/ML engineer with a track record of developing and deploying large-scale AI systems in demanding environments. Your contributions will drive the development of our platform's agentic intelligence, allowing it to conduct root cause analysis (RCA) and automated remediation.

This position bridges AI research and production engineering. You will experiment with LLMs, reinforcement learning, and synthetic data generation, and implement these concepts into scalable and dependable systems.

Responsibilities
  • Design and deploy AI agents that operate reliably under enterprise constraints, such as multi-cloud environments 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-world 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 platform.
  • Design systems with built-in observability, monitoring, and CI/CD processes, ensuring failover, rollback, and resilience capabilities.
Requirements
  • 5+ years of 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.
  • 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.
Why This Opportunity Matters

This role offers the chance to work on cutting-edge AI technology and contribute to a product that has the potential to revolutionize enterprise reliability.

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