22 часа назад
Senior Software Engineer, Training & Experimentation (AI)
180 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, Training & Experimentation (AI) (Go/Python/Rust): Building backend services, scalable APIs, and distributed infrastructure for AI agent orchestration, experimentation, and long-running workflows with an accent on reliability, developer tooling, and platform scalability. Focus on designing asynchronous distributed systems, operating production services at scale, and improving observability, performance, testing, and continuous delivery.
Location: London, England, United Kingdom; New York, New York, United States; or San Francisco, California, United States. Hybrid work with a minimum of 2 in-office days per week and occasional team and company offsites.
Annual base salary: $180,000–$250,000 USD, plus a discretionary bonus, equity, and benefits.
Company
builds an end-to-end platform for developing, training, and deploying AI systems, combining developer-focused software with large-scale AI compute.
What you will do
- Design and build backend services for AI agent orchestration and execution.
- Develop scalable APIs and platform capabilities for tool use, workflow orchestration, memory, and state management.
- Build reliable infrastructure for long-running, distributed AI workflows.
- Partner with product, research, and platform engineering teams to bring agent capabilities into production.
- Improve platform reliability, observability, performance, testing, automation, and continuous delivery.
- Mentor engineers on system design, distributed systems, and backend engineering practices.
Requirements
- Extensive experience building scalable backend systems with Go, Python, Rust, or similar languages.
- Strong understanding of distributed systems, asynchronous processing, APIs, and cloud-native application architecture.
- Experience designing and operating production services at scale and building backend platforms, developer tools, or infrastructure products.
- Familiarity with AWS, GCP, or Azure, as well as Docker and Kubernetes.
- Experience owning large technical initiatives from architecture through production, with a focus on automated testing, observability, and continuous delivery.
- Strong communication and cross-functional collaboration skills in fast-moving, ambiguous environments.
Culture & Benefits
- Ownership-driven, fast-moving environment focused on open communication, continuous improvement, and long-term scalable systems.
- Medical, dental, and vision coverage for employees and eligible dependents.
- Equity, retirement savings contributions, unlimited PTO, company holidays, and a two-week winter break.
- Paid parental and family leave, wellness and work-from-home stipends, and an annual learning and development allowance.
- Four weeks of paid sabbatical leave after four years of service.
- Flexible schedules, hybrid office work, and complimentary meals at office hubs.
Hiring process
- Final offers consider experience, skills, geographic location, and role expectations.
- Benefits vary by location, team, and role.
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