8 часов назад
Senior Applied AI Engineer (AI)
152 900 - 224 235$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Applied AI Engineer (AI/LLM systems): Building applied AI research systems, agent evaluation platforms, prototypes, and production integrations with an accent on long-running agents, hosted and self-hosted models, and measurable quality, cost, and speed tradeoffs. Focus on designing evidence-based experiments, improving agent reliability, optimizing model serving, and deploying systems with effective monitoring.
Location: North Carolina, United States
Base pay for other U.S. cities and states: $152,900–$224,235 per year. The role may also include variable compensation and/or equity.
Company
provides cybersecurity solutions that protect people, data, and AI agents across email, cloud, and collaboration tools.
What you will do
- Lead applied AI research from problem framing and experiment design through evidence-based decisions.
- Build agentic systems that improve through evaluation loops and recover from failures.
- Extend evaluation platforms with task suites, regression checks, and quality, cost, and speed measurements.
- Work with third-party model APIs, open-weight models, GPU infrastructure, fine-tuning, and efficient serving.
- Build prototypes, playgrounds, and APIs, then advise deployment teams on AI integration and production monitoring.
- Mentor engineers and help stakeholders turn real operational problems into valuable research questions.
Requirements
- 5+ years of experience building software and ML systems, including recent hands-on LLM systems beyond the prototype stage.
- Experience building production-oriented agents and handling failures in long-running agent workflows.
- Experience with third-party model APIs, open-weight models, and GPU-based infrastructure.
- Experience with Kubernetes inference platforms, Flyte, LiteLLM, Langfuse, and evaluation and tracing tools.
- Strong Python skills and solid machine learning fundamentals.
- Daily experience with Claude Code, Cursor, or similar coding agents while maintaining correctness and test quality.
Nice to have
- Fine-tuning or serving open-weight models.
- Automated prompt and pipeline optimization.
- Multi-GPU serving, MCP, and tool protocols.
- Cybersecurity experience, including phishing or threat detection.
- Open-source contributions or research publications.
Culture & Benefits
- Flexible work environment and global collaboration opportunities.
- Comprehensive benefits and competitive compensation.
- Flexible time off, a well-being program, two paid Wellbeing Days, and two paid Volunteer Days annually.
- Three-week Work from Anywhere option.
- Annual wellness and community outreach days, recognition programs, and career development support.
Hiring process
- Submit an application with any supporting information.
- Accommodation is available during the application or interview process upon request.
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