6 дней назад
Software Engineer (AI)
260 000 - 285 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI): Building and maintaining AI infrastructure, tools, and customer-facing applications with an accent on Python development, production reliability, security, and cloud-native operations. Focus on designing solutions for ambiguous requirements, modifying open-source software, leading AI initiatives, and implementing observability for highly available AI services.
Location: United States-related clearance environment; applicants must already hold an active TS/SCI clearance with a current Full Scope Polygraph before applying. Clearance sponsorship or processing is not available.
Salary: $260,000–$285,000 per year, plus $65,000–$71,000 in immediately vested company 401(k) contributions.
Company
develops customer-focused technology solutions, including AI infrastructure and AI-enabled applications.
What you will do
- Develop and maintain high-quality AI tools, applications, and customer-facing infrastructure.
- Ensure high availability, reliability, performance, and security across AI services and supporting components.
- Modify free and open-source software to address customer use cases.
- Engage with customers to elicit requirements and turn ambiguous problems into technical solutions.
- Lead AI tools and applications initiatives, coordinate work across integrated teams, and coach junior developers.
- Establish technical policies, standards, governance, monitoring, logging, and observability practices.
Requirements
- Current TS/SCI clearance with a Full Scope Polygraph required before applying.
- Clearance sponsorship or processing is not available.
- 12 years of experience, plus a bachelor's degree in a technical discipline or 4 additional years of experience in lieu of a degree.
- Mastery of Python and significant experience developing and maintaining production software.
- Experience with AWS or another cloud provider, Kubernetes and Helm, CI/CD frameworks such as Argo CD, Docker, and containerization.
- Experience applying Site Reliability Engineering practices, using LLMs in code solution workflows, and leading or managing junior developers.
Nice to have
- Experience with LLM user interface open-source software such as OpenWebUI.
- Experience with LLM model hosting.
- Advanced experience with customer requirements elicitation, community outreach, and integration.
- Proficiency with AWS, Kubernetes and Helm, Argo CD or other CI/CD frameworks, Docker, and SRE practices.
Culture & Benefits
- Work on next-generation AI infrastructure supporting a broader ecosystem of AI-enabled applications.
- Additional immediately vested company 401(k) contributions of $65,000–$71,000.
- Opportunity to influence technical standards, governance, technology adoption, and engineering practices.
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