Advanced Intelligent Systems Architect

2 weeks ago

Pushkar, Rajasthan, India beBeeAIENGINEER Full time US$ 2,00,000 - US$ 2,50,000
Senior AI Engineer Role

The ideal candidate will drive the development and deployment of AI/ML systems at scale, contributing to BugRaid's agentic intelligence and root cause analysis capabilities.

This position bridges research and production engineering, focusing on LLMs, reinforcement learning, and synthetic data. Key responsibilities include designing and implementing AI agents for enterprise environments, developing reasoning workflows, and utilizing techniques like fine-tuning and reward modeling.

The successful candidate will have a strong foundation in deep learning, reinforcement learning, or robotics, along with hands-on experience with LLM fine-tuning and synthetic data generation. Proven track records of shipping AI systems into production are essential, as well as experience with cloud-native architectures and MLOps tooling.

  • 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 in scenarios with limited data.
  • 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.

The ideal candidate will have 5+ years of production experience building and deploying ML/AI systems at scale, a PhD or Master's in Computer Science, Machine Learning, or related fields, and a proven track record of shipping AI systems into production.

We offer competitive compensation, equity (ESOPs), and a chance to join at an early stage with an outsized impact. Our culture values research rigor, engineering excellence, and execution speed, ensuring your work will have a lasting impact.

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 and synthetic data generation.
  • Proven track record of shipping AI systems into production.

Benefits:

  • Competitive compensation.
  • Equity (ESOPs).
  • Chance to join at an early stage with an outsized impact.

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