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2 days ago
We are seeking a seasoned expert to spearhead the development and deployment of cutting-edge AI systems at scale. The ideal candidate will possess a strong foundation in deep learning, reinforcement learning, or robotics.
This role bridges AI research and production engineering, requiring the ability to experiment with LLMs, synthetic data, and large-scale observability data. You will design, implement, and deploy AI agents that operate reliably under enterprise constraints, such as multi-cloud environments and compliance requirements.
Key Responsibilities:- Designing and implementing enterprise-ready AI systems that meet scalability and reliability demands.
- Developing and testing reasoning workflows, prompting strategies, and tool-use policies for large-scale observability data.
- Utilizing techniques such as fine-tuning, RLHF, and reward modeling to ensure AI behavior aligns with real SRE workflows.
- Cross-team collaboration to incorporate AI research into production environments.
- Ensuring production excellence through built-in observability, monitoring, and CI/CD processes.
- 5+ years of production experience building and deploying ML/AI systems at scale.
- 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.
- 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.
This is an exciting opportunity to work on complex AI systems that drive business outcomes. If you have a passion for pushing the boundaries of what is possible with AI, we want to hear from you.
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