3 часа назад
Agent Engineer (AI)
170 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Agent Engineer (AI) (LLM-backed audit products): Building production AI agents and structured-output pipelines that perform real cybersecurity, privacy, financial, and internal audit work with an accent on agent quality, evaluation, orchestration, and human-in-the-loop design. Focus on analyzing model errors, balancing quality, latency, and cost across multi-phase runs, and turning ambiguous requirements into reliable customer-facing features.
Location: San Francisco, CA; hybrid
Salary: $170,000–$300,000 base salary per year, plus equity
Company
builds software that automates assurance and audit work in cybersecurity, privacy, and financial audits.
What you will do
- Build and ship production LLM-backed agents that perform real audit work.
- Run error analysis on testing data and turn findings into improvements to agent judgment and reliability.
- Develop structured-output pipelines that transform model results into audit artifacts.
- Make model-selection, prompting, orchestration, quality, latency, and cost tradeoffs across multi-phase runs.
- Work with subject matter experts, design-partner firms, product, design, and customer-facing teams to improve agents.
- Expand agent coverage into new controls and internal audit areas.
Requirements
- Production experience shipping LLM-backed product features for real users.
- Applied AI experience with evaluations, error analysis, and model-selection decisions.
- Full-stack capability with sufficient backend depth for agent orchestration.
- Ability to work autonomously from ambiguous specifications and ship maintainable, tested, instrumented code.
- Strong collaboration with product managers, designers, domain experts, and customers.
- Comfort working directly with practitioners and domain experts in audit-related workflows.
Nice to have
- Python, TypeScript, React, Postgres, Hasura, or GraphQL.
- Temporal or comparable durable-execution and workflow-orchestration experience.
- Experience with Langfuse, Braintrust, LangSmith, Arize Phoenix, or comparable evaluation tools.
- Structured-output systems, schema contracts, document processing, or PDF and Excel manipulation.
- Startup, customer-facing, internal audit, SOX, accounting, or other regulated-domain experience.
Culture & Benefits
- Ownership of a new 0→1 agent and product initiative.
- High autonomy on ambiguous problems and close customer proximity.
- Competitive compensation with equity.
- Health and wellness benefits, flexible time off, flexible work schedules, and technology reimbursement.
- 401(k) plan and twice-yearly in-person offsites across the U.S.
- Wellness benefits begin on the first day.
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