Senior Staff Frontier Agents Engineer
Scale AI · San Francisco, CA; New York, NY · Enterprise Engineering · listed May 15, 2026
The shape of it
Seniority
Staff
Experience asked
12+ years
Where
Not stated
Stated pay
$288,000 – $360,000 USD
Requirements listed
5
Length
1,308 words
In the posting’s own words
As a Senior Staff Frontier Agents Engineer on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You'll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments.
What it asks for · 5
- 12+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design
- Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
- Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
- Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
- Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
Also a plus
- Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures
- Experience building and deploying AI agents or autonomous systems in production
- Knowledge of vector databases and semantic search systems
- Contributions to open-source AI/ML projects
- Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
- Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
- Previous work in a devops, platform, or infra role
- Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)
Tools and skills named
Models & research
- Machine learning4×
- Prompt engineering3×
- Fine-tuning
- LLM
Cloud & infra
- AWS
- Azure
- CI/CD
- Docker
- GCP
- Kubernetes
- Terraform
Data
- Data pipelines2×
- Experimentation2×
- ETL
Security & compliance
- Security2×
- GDPR
- HIPAA
- SOC 2
Languages
- Python
Ways of working
- Testing
Words the posting leans on
- customer23×
- data17×
- agent14×
- technical12×
- engineering8×
- systems8×
- experience7×
- model6×
- customer data5×
- enterprise5×
- infrastructure5×
- pipelines5×
- solutions5×
- deep4×
- integration4×
- platform4×
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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