Intelligent Systems Developer

1 day ago

Ahmedabad, Gujarat, India beBeeArtificial Full time ₹ 18,00,000 - ₹ 20,25,000

Modern enterprises face significant threats from downtime, resulting in lost revenue, diminished trust, and increased pressure on engineers.

Key Responsibilities

We seek a seasoned expert to develop and deploy artificial intelligence systems at scale, driving BugRaid.AI's agentic intelligence and enabling root cause analysis and automated remediation in demanding enterprise settings.

Your key contributions will focus on designing, implementing, and deploying AI agents that operate reliably under enterprise constraints, such as multi-cloud environments, zero data egress, and compliance requirements.

  • Develop and test reasoning workflows, prompting strategies, and tool-use policies tailored for large-scale observability data.
  • Utilize techniques like fine-tuning, reinforcement learning with human feedback, 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.
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 large language model fine-tuning, reinforcement learning with human feedback, or synthetic data generation.
  • Proven track record of shipping AI systems into production (not just research prototypes).
Desirable Qualifications
  • Background in observability (logs, metrics, traces) or large-scale production debugging.
  • Experience designing secure AI systems (data privacy, zero-data egress, compliance frameworks like HIPAA/FedRAMP).
  • Contributions to open-source agent frameworks (LangChain, LlamaIndex, Haystack, Ray Serve).
  • Experience with real-time ML serving (low-latency inference, batch + streaming pipelines).
  • Prior experience in enterprise SaaS or reliability-focused products.

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