AI Software Engineer
Tasks
- Adapt environment delivery formats to customer infrastructure
- Architect multi site scenarios
- Build customer facing dashboards and monitoring
- Build internal tooling for scenario authoring and testing
- Define SLAs and API contracts
- Design and build isolated reproducible web environments
- Implement deterministic verifiers for agent behavior
- Integrate RL Gym environments into training pipelines
- Optimize low latency provisioning and high concurrency
- Own and evolve orchestration harness
- Prototype new environment types quickly
- Provision and manage reinforcement learning environments at scale
- Translate customer specifications into working environments
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Adversarial Testing | Asynchronous programming | Browser Automation | Concurrency | Docker | Evaluation Frameworks | Firecracker | Headless browsers | Infrastructure as Code | Kubernetes | Kubernetes Operators | Linux | Networking | Python | React | Reinforcement Learning | Reinforcement Learning Infrastructure | Reinforcement learning pipelines | Security Testing | Web Scraping | “as-code”
Education
N/A
Roles
AI | AI Software Engineer | Engineer | Principal | Principal Software Engineer | Software Engineer
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