Expert in AI and Enterprise Reliability

3 days ago

Pune, Maharashtra, India beBeeReliability Full time US$ 1,80,000 - US$ 2,00,000

Job Title: Expert in AI and Enterprise Reliability

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At BugRaid.AI, we're revolutionizing the way enterprises approach incident management with our cutting-edge AI copilot technology. As a Senior AI Engineer or Research Scientist on our team, you'll play a crucial role in designing and deploying intelligent systems that detect, diagnose, and resolve complex production incidents.

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Key Responsibilities:

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  • Develop and implement AI agents that operate reliably under enterprise constraints, ensuring seamless integration with multi-cloud environments, zero data egress, and compliance requirements.">
  • Conduct research and experimentation with Large Language Models (LLMs) and reinforcement learning to improve reasoning workflows and prompting strategies for large-scale observability data.">
  • Utilize techniques such as fine-tuning, Reward Shaping, and reward modeling to ensure AI behavior aligns with real SRE workflows, avoiding reliance on toy datasets.">
  • Design and develop 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 BugRaid.AI platform.">
  • Ensure designed systems have built-in observability, monitoring, and CI/CD processes, guaranteeing failover, rollback, and resilience capabilities.">
  • Stay up-to-date with the latest research in LLMs, agentic AI, and reliability, incorporating innovations into enterprise production environments.">
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Requirements:

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To be successful in this role, you should possess the following skills and qualifications:

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  • 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, Reward Shaping, or synthetic data generation.">
  • Proven track record of shipping AI systems into production (not just research prototypes).">
  • Experience with cloud-native architectures (AWS/Azure/GCP), Kubernetes, and MLOps tooling (SageMaker, MLflow, Ray, Kubeflow).">
  • Comfort working with large-scale data streams (Kinesis, Kafka, Flink) and vector databases (OpenSearch, Pinecone, Weaviate).">
  • Strong collaboration skills and ability to communicate across research, engineering, and product teams.">
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Benefits:

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As a member of our team, you'll enjoy:

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  • Opportunities to work on high-impact AI challenges that sit at the intersection of AI, DevOps, and enterprise reliability.">
  • A collaborative environment that values research rigor, engineering excellence, and execution speed.">
  • Competitive compensation and equity (ESOPs) opportunities.">
  • A chance to join at an early stage with an outsized impact on the industry.">
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Join Our Mission:

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We're not just looking for skilled professionals; we're seeking like-minded individuals who share our passion for innovation and our commitment to delivering world-class results. If you're ready to take on new challenges and push the boundaries of what's possible, let's connect

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