
AI Leader
13 hours ago
Transform your skills into a career as a leading Senior AI Engineer.
About the RoleWe are seeking a highly experienced Senior AI Engineer or Research Scientist to join our team. Your role will be to design, implement, and deploy cutting-edge AI systems at scale.
Main Responsibilities- Create intelligent agents that operate reliably under enterprise constraints, such as multi-cloud environments and compliance requirements.
- Develop and test reasoning workflows, prompting strategies, and tool-use policies tailored for large-scale observability data.
- Utilize fine-tuning, RLHF, and reward modeling to ensure AI behavior aligns with real SRE workflows.
- Design scalable pipelines for producing synthetic incidents - logs, metrics, traces - used for training and benchmarking.
- 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.
- 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 research, engineering, and product teams.
The ideal candidate has strong foundations in AI/ML, programming languages, and software development methodologies. They must be willing to learn about new technologies and adapt to changing project needs.
Nice to Have- Background in observability or large-scale production debugging.
- Experience designing secure AI systems.
- Contributions to open-source agent frameworks.
- Experience with real-time ML serving.
- Prior experience in enterprise SaaS or reliability-focused products.
We offer competitive compensation, equity, and a chance to join at an early stage with an outsized impact. Our culture values research rigor, engineering excellence, and execution speed.
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