
Senior Artificial Intelligence Expert
7 days ago
AI pioneers sought to spearhead the development of cutting-edge intelligent systems.
We are looking for a Senior AI Engineer or Research Scientist with extensive experience in designing and deploying large-scale AI/ML systems. Your contributions will drive the creation of our agentic intelligence platform, enabling it to conduct root cause analysis and automated remediation in demanding enterprise settings.
This position bridges the gap between AI research and production engineering. You will experiment with LLMs, reinforcement learning, and synthetic data, and also implement these concepts into scalable, reliable systems.
- Enterprise-Ready AI Development: Design and deploy AI agents that operate 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 tailored for large-scale observability data.
- Training & Alignment: Utilize techniques like fine-tuning, RLHF, and reward modeling to ensure AI behavior aligns with real SRE workflows.
- Synthetic Data Generation: Create scalable pipelines for producing synthetic incidents—logs, metrics, traces—used for training and benchmarking.
- Cross-Team Collaboration: Collaborate closely with infrastructure engineers, SREs, and product leaders to incorporate AI research into our 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 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.
- Experience with cloud-native architectures, Kubernetes, and MLOps tooling.
- Comfort working with large-scale data streams and vector databases.
- Strong collaboration skills and ability to communicate across teams.
Why Join Our Mission
- Work on high-impact AI challenges at the intersection of AI, DevOps, and enterprise reliability.
- Shape the core intelligence layer of our product designed for enterprise readiness.
- 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.
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