Frontier Agent Engineering Manager, Enterprise
Scale AI · London, UK
Infrastructureonsitemanager
At a glance
Highlights
- Lead deployment of production-grade AI agents for strategic enterprise customers.
- Architect multi-agent systems that orchestrate models, tools, and data sources.
- Partner directly with enterprises to integrate AI into critical business workflows.
Ideal candidate
Customer-obsessed engineering leader who thrives in ambiguous, client-facing environments. You love prototyping AI solutions and turning business needs into production impact.
Requirements
- 5+ years of software engineering experience with 3+ years of management experience
- Strong fundamentals in data structures, algorithms, and system design
- Production Python expertise with modern ML/AI frameworks (LangChain, LlamaIndex, HuggingFace, OpenAI API)
- Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
- Strong problem-solving skills with ability to navigate ambiguous requirements and iterate rapidly
- Excellent communication skills explaining complex concepts to technical and non-technical audiences
- Deep understanding of LLMs including prompting techniques, embeddings, and RAG
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta
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