Top Tech Jobs & Startup Jobs

Design and run adversarial single- and multi-agent environments to find concrete failure modes in LLM agents. Orchestrate large-scale experiments against external APIs and internal models, instrument emergent behaviors, catalogue failures, and translate findings into internal models and public research.

Design and run empirical experiments to find how LLM agents fail in realistic settings; build automated audit agents, fine-tune and run models, perform white-box and black-box investigations, produce evals and publish findings that feed into product guardrails.

Build, own, and maintain internal benchmark suites for single- and multi-turn content and agentic guardrails; create benchmarks distinguishing model capabilities; extend evals to new verticals and product features; collaborate on research quantifying realistic LLM and agent failure modes; support product integration of core model functionality.

Full-cycle recruiter for an AI safety startup, sourcing and hiring engineering, AI research, product, and business roles across the US and Europe. Build technical pipelines, conduct structured interviews, assess candidates for technical and cultural fit, improve recruiting processes and tooling, and advise hiring managers and leadership.

Provide high-touch executive support: manage calendars, inboxes, and travel; research and book services; perform operational and administrative tasks; organise information and reduce day-to-day friction in a fast-moving, async environment. Bilingual English/French required.

Build and maintain end-to-end automated test frameworks for web and API platforms, integrate tests into CI/CD, own test coverage, write bug reports, and improve test reliability and speed.

Design, build, and own backend services in Rust for real-time policy checks at scale. Ship end-to-end features from API design to deployment, optimize performance and reliability, collaborate with product and ML teams, and improve observability and throughput for high-volume APIs and data pipelines.

Design clear, functional web interfaces for AI-focused products. Evolve and maintain a Figma design system, update screens, create new flows, prototype and animate, and collaborate closely with product, engineering, and research to iterate and own features.

Own full-cycle recruitment for AI research, ML, data, evaluations, and ML infrastructure roles. Partner with research leadership to define specialized candidate profiles; source passive and active candidates from labs, startups, universities, and open-source communities; evaluate publications, code, models, datasets, and production contributions; design structured hiring processes; deliver exceptional candidate experiences; track recruiting performance; and support cross-functional hiring as business priorities require.

Design, build, and maintain cloud and on‑prem infrastructure: Kubernetes clusters, CI/CD pipelines, IaC (Terraform), observability, networking, automation, and tooling to ensure reliable, secure, and scalable production systems.