Principal AI Development Specialist

8 hours ago

Mount Abu, Rajasthan, India beBeeAI Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Enterprise AI Engineer

We are seeking a seasoned professional with expertise in developing and deploying scalable, enterprise-grade AI/ML systems.

This position bridges AI research and production engineering, requiring experimentation with large language models, reinforcement learning, and synthetic data, as well as the implementation of these concepts into dependable systems.

Key Responsibilities:
  • Design and implement 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 such as fine-tuning, RLHF, 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.
  • Collaborate closely with infrastructure engineers, SREs, and product leaders to incorporate AI research into platform development.
  • Design systems with built-in observability, monitoring, and CI/CD processes, ensuring failover, rollback, and resilience capabilities.
Requirements:
  • 5+ years of 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 (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).
Nice to Have:
  • 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).

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