AI Research Engineer

2 days ago

Ghaziabad, Uttar Pradesh, India beBeeAI Full time US$ 20,00,000 - US$ 25,00,000

We're seeking a highly skilled professional to drive our intelligent system's agentic capabilities, enabling it to conduct root cause analysis and automated remediation in demanding enterprise settings.

This position bridges AI research and production engineering, requiring the candidate to design, implement, and deploy AI agents that operate reliably under enterprise constraints.

  • Key Responsibilities:
  • Develop reasoning workflows, prompting strategies, and tool-use policies tailored for large-scale observability data
  • Fine-tune LLMs, utilize 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
  • Collaborate closely with infrastructure engineers, SREs, and product leaders to incorporate AI research into our platform
  • Design systems with built-in observability, monitoring, and CI/CD processes ensuring failover, rollback, and resilience capabilities

Requirements:

A strong foundation in deep learning, reinforcement learning, or robotics, hands-on experience with LLM fine-tuning, RLHF, or synthetic data generation, and a proven track record of shipping AI systems into production are essential.

Experience with cloud-native architectures, Kubernetes, and MLOps tooling, as well as comfort working with large-scale data streams and vector databases, is highly desirable.

Bonus Skills:

Nice to have background in observability, experience designing secure AI systems, contributions to open-source agent frameworks, and prior experience in enterprise SaaS or reliability-focused products.

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