AI Systems Architectural Specialist

24 hours ago

Vizag, Andhra Pradesh, India beBeeEnterprise Full time ₹ 2,00,00,000 - ₹ 4,00,00,000
Senior AI Systems Engineer

We're seeking a highly skilled Senior AI Systems Engineer with hands-on experience in developing and deploying AI/ML systems at scale.

  • Design and Deploy Scalable AI Systems: Collaborate with our team to design, implement, and deploy AI agents that operate reliably under enterprise constraints.
  • LLM Research and Development: Experiment with large language models (LLMs) and develop reasoning workflows, prompting strategies, and tool-use policies tailored for large-scale observability data.
  • Training and Alignment: Utilize fine-tuning, reinforcement learning from human feedback (RLHF), and reward modeling techniques 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: Work closely with infrastructure engineers, SREs, and product leaders to incorporate AI research into our platform.
  • Production Excellence: Design systems with built-in observability, monitoring, and CI/CD processes, ensuring failover, rollback, and resilience capabilities.

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.

Why Join Us?

  • 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.
  • Competitive compensation and equity.
  • A culture that values research rigor, engineering excellence, and execution speed.

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