5 дней назад
Senior Software Engineer (AI Infrastructure)
260 000 - 285 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI Infrastructure): Building and maintaining infrastructure for customer AI capabilities, with an accent on LLM inference quality, model deployment, and cloud-native services. Focus on evaluating and deploying inference models, developing reliable inference services, and translating evolving stakeholder needs into production engineering solutions.
Location: U.S. security-cleared role; candidates must already hold a TS/SCI clearance with a current Full Scope Polygraph before applying.
Salary: $260,000–$285,000 per year, plus $65,000–$71,000 in immediately vested company 401(k) contributions.
Company
Builds software and AI infrastructure supporting customer mission and technology needs.
What you will do
- Lead the evaluation, configuration, and deployment of inference models.
- Build and maintain infrastructure that supports customer AI capabilities and AI-enabled applications.
- Develop services and techniques that ensure consistently high-quality inference.
- Translate high-level stakeholder goals into engineering outcomes and integrate LLM-powered tools.
- Mentor engineers and improve development practices, standards, and infrastructure.
- Support short-term, high-priority inference requirements in collaboration with other teams.
Requirements
- Must already hold a TS/SCI clearance with a current Full Scope Polygraph before applying.
- Clearance sponsorship or processing is not available for this position.
- 12 years of experience, plus a bachelor’s degree in a technical discipline or 4 additional years of experience instead of the degree.
- Experience with Python or other modern programming languages, Argo CD or CI/CD frameworks, Kubernetes and Helm, and AWS or other cloud providers.
- Strong communication, leadership, stakeholder management, mentoring, and coordination skills.
- Ability to balance hands-on engineering with leadership responsibilities.
Nice to have
- Experience with vLLM, LiteLLM, or similar inference-serving frameworks.
- Experience with LLM hosting frameworks, SRE practices, traffic shaping, or quality-of-service engineering.
- Experience with Elastic, Grafana, Prometheus, Docker, and containerization.
- Knowledge of and interest in hosting AI capabilities.
Culture & Benefits
- Immediately vested company 401(k) contributions of $65,000–$71,000.
- Work includes evolving mission requirements and emerging technologies.
- Opportunities to mentor engineers and establish development standards.
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