Senior Technologist
5 days ago
We are seeking an accomplished technologist to spearhead the development and deployment of cutting-edge artificial intelligence systems. Your expertise will drive our platform's agentic intelligence, enabling it to conduct root cause analysis (RCA) and automated remediation in demanding enterprise settings.
This position bridges the gap between research and production engineering. You will experiment with large language models, reinforcement learning, and synthetic data, and also implement these concepts into scalable, dependable systems.
Key Responsibilities- Design and deploy 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 specifically 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, thereby 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 our platform.
- Design systems with built-in observability, monitoring, and CI/CD processes, ensuring failover, rollback, and resilience capabilities.
- Stay current with the latest research in LLMs, agentic AI, and reliability, and incorporate these innovations into enterprise production environments.
- 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.
- 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.
- A culture that values research rigor, engineering excellence, and execution speed.
- Our platform is designed to improve the reliability and efficiency of enterprise infrastructure.
- Your contributions will have a direct impact on the development of our technology.
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