Chief AI Development Lead

19 hours ago

Kolkata, West Bengal, India beBeeDevelopment Full time ₹ 1,40,40,000 - ₹ 2,43,60,000
Job Overview

We are seeking a skilled Chief AI Development Lead to drive the development and deployment of AI/ML systems at scale. This position bridges AI research and production engineering, requiring expertise in designing, implementing, and deploying AI agents that operate reliably under enterprise constraints.

The ideal candidate will have a strong foundation in deep learning, reinforcement learning, or robotics, with hands-on experience in LLM fine-tuning, RLHF, or synthetic data generation. They will be responsible for experimenting with new concepts, developing reasoning workflows, and implementing these ideas into enterprise-grade, scalable, and dependable systems.

Responsibilities
  • AI System Design: Design, implement, and deploy AI agents that operate reliably under enterprise constraints, such as multi-cloud environments, zero data egress, and compliance requirements.
  • LLM & Agent Research: Develop and test reasoning workflows, prompting strategies, and tool-use policies specifically tailored for large-scale observability data.
  • Training & Alignment: Utilize techniques such as fine-tuning, RLHF, and reward modeling to ensure AI behavior aligns with real SRE workflows, thereby avoiding reliance on toy datasets.
  • 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: Collaborate closely with infrastructure engineers, SREs, and product leaders to incorporate AI research into the platform.
  • Production Excellence: Design systems with built-in observability, monitoring, and CI/CD processes, ensuring failover, rollback, and resilience capabilities.
  • Frontier Tracking: Keep up with the latest research in LLMs, agentic AI, and reliability, and incorporate 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.
Benefits
  • 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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