Member of Engineering (Agent Sandboxes)
Remote • Remote (EMEA/East Coast) • FullTime
Posted 2mo ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
Poolside is building a company to create Artificial General Intelligence, aiming to accelerate software development through agentic systems and frontier models. We are a distributed team across Europe and North America, with monthly in-person collaboration in Paris and annual off-sites. Our multidisciplinary team is united by a deep care for our work, fostering a culture of hard work, intellectual curiosity, and kindness. We are seeking a Member of Engineering to join our Platform engineering team, focusing on our sandboxed agent execution environment. This role is crucial for accelerating experimentation and foundation model training by designing, developing, and operating services and systems that enable running agent sessions safely and at scale.
Responsibilities
- Design and develop a sandboxed execution environment to facilitate Agent research and product development.
- Own the complete development cycle of new features and capabilities in the Agent execution environment.
- Collaborate with other teams to discuss, guide, and meet their needs in the sandbox and code execution environment.
- Continuously improve the reliability and performance of the Agent execution environment.
- Explore and evaluate different isolation techniques for agent execution.
- Improve the reliability and performance of the systems behind the execution environment.
Requirements
- Hands-on experience with sandbox techniques and container runtimes.
- Ability to balance speed and quality in work.
- Self-driven and willing to reprioritize based on evolving project needs.
- Ability to distinguish between high-impact tasks and trivial optimizations.
- Strong programming skills, especially in Go, Python, or other systems programming languages.
- Comfortable with distributed systems.
- Experience in Kubernetes or similar container/vm orchestration systems.
- Familiarity with public clouds like AWS, GCP, etc.
- Experience in designing and building distributed systems.
- Experience in virtualization or container runtime.
- Experience in building large scale CI/CD platforms.
- Experience building systems to support large scale machine learning workloads (plus).
Benefits
- Fully remote work & flexible hours
- 37 days/year of vacation & holidays
- Health insurance allowance for you & dependents
- 16 weeks of flexible, full-pay parental leave
- Company-provided equipment
- Well-being, always-be-learning & home office allowances
- Frequent team get togethers