6 дней назад
Senior Software Development Engineer (AI)
156 000 - 234 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Development Engineer (AI): Building and operating backend services, APIs, ETL pipelines, and infrastructure for AI-powered enterprise applications with an accent on Python, distributed systems, and production reliability. Focus on scaling AI workloads, solving concurrency and fault-tolerance challenges, and owning services through deployment, monitoring, debugging, and on-call operation.
Location: USA, Colorado, Boulder; flexible hybrid work with at least 50% of each quarter spent in the office or in the field.
Annual base salary: $156,000–$234,000 USD for the primary location; additional US locations offer $148,200–$264,000 USD.
Company
is a Fortune 500 company and AI platform for managing people, money, and enterprise agents.
What you will do
- Design, build, and operate core services and infrastructure for AI development, evaluation, and deployment.
- Develop production-grade Python backend services, APIs, and integrations for AI capabilities and agent applications.
- Build and operate data ingestion and ETL pipelines for AI application workflows, including large-scale processing with PySpark.
- Apply distributed systems principles to address scalability, concurrency, fault tolerance, performance, security, privacy, and compliance.
- Own services end to end, including deployment, monitoring, debugging, production health, on-call, and operational improvements.
- Partner with product, research, infrastructure, and engineering teams; lead design and code reviews and mentor engineers.
Requirements
- 8+ years of professional software development experience, including architecting, building, and scaling secure and reliable systems.
- 5+ years of Python development experience with advanced concepts such as asynchronous and concurrent programming, generators, and higher-order abstractions.
- Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
- Strong knowledge of distributed systems, APIs, networking fundamentals, Unix/Linux environments, and command-line tooling.
- Experience with ETL pipelines, PySpark, cloud and container platforms, Docker, Kubernetes, AWS, or GCP.
- Ability to work in the Boulder, Colorado hybrid arrangement and spend at least 50% of each quarter in the office or field.
Culture & Benefits
- Flexible scheduling that combines in-person collaboration with remote work.
- Opportunity to work on AI systems using real enterprise customer data.
- Potential eligibility for a bonus plan or role-specific commission/bonus.
- Potential eligibility for annual refresh stock grants.
- Reasonable accommodations are available during the application process.
Hiring process
- Recruiters provide additional compensation details during the hiring process.
- The application deadline is October 9, 2026.
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