Frontier Agents Engineer (Applied AI)
Scale AI · San Francisco, CA; New York, NY · Enterprise Engineering · listed July 31, 2026
The shape of it
Seniority
Not stated
Where
Not stated
Stated pay
$180,000 – $225,000 USD
Requirements listed
7
Length
1,407 words
In the posting’s own words
As a Frontier Agent Engineer (Applied AI) , you'll bridge the gap between cutting-edge AI research and production deployment. You'll work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software.
What it asks for · 7
- 4+ 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 databases, or retrieval systems.
- Strong understanding of machine learning fundamentals and modern language models.
- Experience designing or evaluating AI systems using quantitative metrics.
- Excellent communication skills and the ability to work directly with enterprise customers.
Tools and skills named
Models & research
- LLM6×
- Machine learning6×
- Fine-tuning
- Prompt engineering
- Reinforcement learning
Cloud & infra
- Observability2×
- AWS
- Azure
- CI/CD
- Docker
- GCP
- Kubernetes
Data
- Experimentation3×
Languages
- Python
Words the posting leans on
- systems30×
- production17×
- experience15×
- agent14×
- customer14×
- models14×
- enterprise12×
- architectures8×
- frontier8×
- engineering7×
- production systems7×
- reasoning7×
- retrieval7×
- applied6×
- engineer6×
- business5×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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