Enterprise AI Engineer

1 week ago

Amrāvati, Maharashtra, India beBeeArtificial Full time US$ 1,80,000 - US$ 2,50,000

At the forefront of cutting-edge innovation, we're seeking a seasoned expert in Artificial Intelligence Engineering to drive our mission forward.

We're looking for a talented individual with a strong background in developing and deploying AI/ML systems at scale. Your contributions will play a crucial role in shaping the future of BugRaid.AI's agentic intelligence, empowering our platform to conduct root cause analysis and automated remediation in high-pressure enterprise settings.

This is an exciting opportunity to bridge the gap between AI research and production engineering. You'll have the chance to experiment with Large Language Models, Reinforcement Learning, and Synthetic Data, as well as implement these concepts into robust, scalable, and dependable systems that meet the stringent demands of the enterprise environment.

Key Responsibilities:

  • Design and implement AI agents that operate seamlessly 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, RLHF, and reward modeling to ensure AI behavior aligns with real SRE workflows, avoiding reliance on toy datasets.
  • Create 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.
  • Design systems with built-in observability, monitoring, and CI/CD processes, ensuring failover, rollback, and resilience capabilities.
  • Stay ahead of the curve by tracking the latest research in LLMs, agentic AI, and reliability, and incorporating these innovations into enterprise production environments.

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 (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.

Why Join Us:

  • Contribute to groundbreaking AI challenges that intersect AI, DevOps, and enterprise reliability.
  • Shape the core intelligence layer of a product designed for enterprise-readiness from day one.
  • Collaborate with a world-class founding team experienced in AI, DevOps, and large-scale systems.
  • A culture that values research rigor, engineering excellence, and execution speed.
  • Competitive compensation and equity opportunities.

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