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Our Innovation team builds adversarial RL environments that train the worlds most advanced AI models to be safer. Our customers are the leading frontier AI labs, who use these environments for post-training reinforcement learning and safety evaluation. This is the bleeding edge of AI safety technology: the environments you build will directly shape how next-generation models learn to resist adversarial attacks.
Were looking for a Principal software engineer to own the RL Gym platform end-to-end: from architecting multi-site web environments that simulate real-world attack surfaces, to optimizing our in-house orchestration harness (AgenticVerse) for high-performance delivery into customer training pipelines. This is a builder role. Youll lead a small team (including a dedicated web environments engineer), operating with high autonomy, moving fast from concept to working prototype to production system. Youll interact directly with customer engineering teams to understand their infrastructure constraints and deliver environments that meet their scale and reliability requirements. Why this role
This is one of the few roles in the industry where your code directly influences how the next generation of AI models are trained. Youll be at the center of advancing AI safety, building systems that the worlds top labs depend on to make their models more robust. The work is technically deep, the problem space is genuinely novel, and the field is moving faster than any team can keep up with alone. Theres no playbook. Youll write it.
What youll do:
Platform & performance
* Own and evolve AgenticVerse, our in-house orchestration harness that provisions and manages RL environments at scale. Focus on performance: low-latency provisioning, high concurrency, minimal overhead per environment instance
* Design and build isolated, reproducible web environments using Firecracker microVMs or Docker containers
* Architect multi-site scenarios (3-4 interconnected web applications per task) with rich interactions: drag-and-drop, file uploads, authentication flows, LLM-in-the-loop components
* Implement deterministic verifiers that evaluate agent behavior with zero ambiguity Customer delivery
* Work directly with engineering teams at leading AI labs to integrate RL Gym environments into their training and evaluation pipelines
* Translate customer specs into working environments, iterating rapidly on feedback
* Own the technical relationship: SLAs, API contracts, integration architecture
* Adapt environment delivery formats to cus tomer infrastructure ( Real-Time API calls vs. offline batch, managed vs. raw artifacts)
* Build customer-facing UIs when needed (dashboards, environment configuration portals, monitoring interfaces) Rapid prototyping
* Take ambiguous problem descriptions and produce working prototypes within days, not weeks
* Validate new environment types, interaction patterns, and verifier approaches quickly
* Build internal tooling that accelerates scenario authoring and testing
About us:
A trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact-whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, we provide end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

Were looking for a hands-on, delivery-focused Team Lead to build and lead a full stack data oriented team responsible for developing our DEX platform. You will drive execution excellence, enforce engineering standards, and collaborate cross-functionally with product, infrastructure, and other teams to deliver high-quality, production-ready platform that scale.
Youll be joining a growing R&D group with strong technical talent, high delivery standards, and clear leadership support. Youll have the opportunity to shape your teams direction, build impactful infrastructure, and work closely with cutting-edge initiatives and technologies.
How Youll Spend Your Day
Team Leadership
Guide and mentor a team of full stack engineers, promoting accountability, ownership, and technical growth
Drive a culture of proactive communication, quality-first mindset, and collaborative problem-solving
Manage delivery timelines and expectations with strong focus on predictability and transparency
Planning & Execution
Ensure features are well-scoped, designed, and reviewed
Own the planning process: dependency management, early risk identification, and cross-team alignment
Lead sprint ceremonies effectively, with clear goals, action items, and follow-ups
Technical Excellence
Own high-level and detailed designs for team-delivered features
Ensure thorough design and PR reviews that align with architectural and security standards
Enforce coding best practices, testing, documentation, and observability
Cross-Team Collaboration
Work with PMs, infra, automation, and other teams to build scalable platform features
Align on feature requirements, UI standards, and integration contracts
Quality & Ownership
Ensure all deliveries meet definition of done: tested, documented, production-ready
Oversee E2E testing, internal and cross-team, as well as production rollout readiness

Were looking for an experienced Data Engineer to join our DEX Platform and help drive the next stage of our growth. In this role, youll design, build, and scale data infrastructure and advanced processing pipelines that power real-time insights and intelligent automation across our platform.
As a senior data engineer, youll own the full service lifecycle-from architecture and development to deployment, monitoring, and scaling-while ensuring data quality, reliability, and compliance. Youll work closely with backend, AI, and data teams to deliver robust, production-ready systems that support our AI-first strategy and our mission to make the workplace run itself.