Senior Frontier Agents Engineer (Applied AI)
Scale AI · San Francisco, CA; New York, NY
Posted about 3 months ago
or apply directly on Scale AI's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Scale AI's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- No 2% of Scale AI's roles list one
- Ghost-job risk at Scale AI
- high 215 stale, 5 reposted of 217 open
- Hiring momentum
- 270 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Scale AI's own greenhouse board since 2026-08-03. Full hiring picture for Scale AI.
About this role
As a Senior Frontier Agent Engineer at Scale AI, you will bridge the gap between AI research and production deployment, working directly with enterprise customers to design and implement intelligent systems. Your role will involve building production AI agents, conducting experiments, and ensuring the reliability and effectiveness of AI systems across various industries. You will also engage in customer innovation by translating complex business challenges into scalable AI solutions.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Scale AI as an employer.
What you need
- 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 databases, or retrieval systems
- Strong understanding of machine learning fundamentals and modern language models
- Experience designing or evaluating AI systems using quantitative metrics
Nice to have
- 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, knowledge graphs, customer intelligence systems, or structured knowledge representations
- Experience with fine-tuning, distillation, reinforcement learning, small language models, or model optimization
What you get
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Potential commuter stipend
Worth weighing
- No specific salary listed, but a range is provided based on location and other factors
- Role involves working across diverse AI challenges, which may appeal to those seeking varied experiences
- Emphasis on both applied AI and engineering skills may require a broad skill set
- The position may involve high-stakes environments, necessitating a focus on reliability and safety
Summarised from Scale AI's posting. Read the full original.
Listed by Scale AI on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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