Senior Frontier Agents Engineer (Applied AI)
Scale AI · Enterprise Engineering
- Location
- San Francisco, CA; New York, NY
- Metro
- San Francisco Bay Area, New York City
- Workplace
- Unspecified
- Level
- Senior
- Type
- Unspecified
- Pay
- $216K–$270K/yr (estimated from posting text)
- Posted
- 3 months ago
- Source
- Greenhouse
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PythonAWSGCPAzureKubernetesDockerLLMs
What the posting covers
About Scale AI
Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems…
The Opportunity
Applied AI is moving faster than ever. New foundation models, reasoning techniques, agent architectures, and research papers emerge every week. Yet building AI systems that reliably solve real-world problems remains one of the hardest engineering challenges.…
Frontier AI Systems
Design and deploy production AI agents that leverage the latest advances in large language models, reasoning, retrieval, memory, and tool use. Architect intelligent systems that combine LLMs, traditional machine learning, structured knowledge, enterprise…
Experimentation & Evaluation
Own the full experimentation lifecycle, from hypothesis generation to production rollout. Design rigorous evaluation frameworks using offline benchmarks, online A/B experiments, golden datasets, regression suites, LLM-as-a-Judge, and human evaluation. Run…
Production AI Engineering
Build production-quality AI systems with a strong emphasis on reliability, observability, latency, safety, and cost. Design agent guardrails, fallback strategies, tracing, monitoring, and evaluation pipelines that enable safe deployment in high-stakes…
Customer Innovation
Partner directly with enterprise customers to understand their business, data, and operational challenges. Translate ambiguous customer problems into production AI architectures. Rapidly prototype new ideas, validate them with customers, and evolve successful…
What Makes This Role Different
You'll work across the full lifecycle of modern AI systems: Designing reasoning and agent architectures Building retrieval, memory, and customer intelligence systems Developing predictive models that work alongside LLMs Running experiments and ablation…
Required Qualifications
5+ years of software engineering, machine learning, or applied AI experience. Strong Python programming skills. Experience building production AI systems using LLMs. Experience with modern AI tooling, including OpenAI, Claude, MCP, agent frameworks, vector…
Applied AI
Experience building production AI agents or autonomous systems. Deep understanding of reasoning, retrieval, memory, planning, and tool use. Experience designing evaluation frameworks for LLMs and agentic systems. Experience with RAG, semantic search,…
Software Engineering
Experience building distributed production systems. Experience with cloud platforms such as AWS, Azure, or GCP. Experience with Docker, Kubernetes, CI/CD, and production observability. Experience integrating AI systems into enterprise software environments.
Customer Engineering
Experience working directly with enterprise customers. Ability to translate ambiguous business problems into technical architectures. Strong written and verbal communication skills. Experience leading technical workshops, architecture reviews, or customer…
Dual Fluency
While this role initially emphasizes Applied AI and machine learning, every Frontier Agent Engineer develops expertise across both Applied AI and Forward Deployed Engineering. Over time, you'll gain hands-on experience integrating AI systems into enterprise…
About Us
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy,…
Excerpts only. The employer’s page has the complete posting.