AI Security Engineer
OLIX
AI Security Engineer
OLIX
Optical compute hardware for AI inference
About OLIX
AI is growing faster than any technology in history, and the demand has created an infrastructure gap: we can no longer build chips or power stations fast enough to keep up. The industry still relies on a ten-year-old hardware blueprint that has reached its limit. The OLIX Decode Accelerator 1 (DX-1) is the first accelerator architected specifically for decode. Rack-scale co-design of logic, data movement, packaging, optics and interconnect delivers a step change in system-level performance.
The Role
We build infrastructure for frontier AI, and we use AI to build it. Every team at OLIX works with AI tools, coding harnesses, models and agents, and we intend to use them more. We are hiring an AI Security Engineer to make that adoption safe without slowing it down.
You will map our AI footprint, secure our agents and their identities, protect our compute infrastructure, and build the controls that stop our IP and data leaving through AI systems. You will give teams a fast path to adopt new tools and make AI security measurable. This is a hands-on, high-ownership role with the freedom to define AI security at OLIX from the ground up.
Responsibilities
Map the AI footprint: build and maintain the inventory of AI tools, models, agents and data flows across the company.
Secure agents: give every agent a managed identity, least-privilege access, logged actions and the right human approvals.
Build controls against AI threats: prompt injection, data leakage, model and package supply chain, unsafe agent actions and shadow AI.
Secure AI infrastructure: harden the cloud compute our teams use to build and run AI workloads.
Make AI security measurable: run our ISO 42001 self-assessment and feed AI security events into our SIEM.
Enable safe adoption: review new AI tools within days and publish the guardrails teams need.
Skills and experience
5 or more years in security engineering, application security or cloud security, with at least 2 years securing AI or ML systems, LLM applications or agents.
Hands-on knowledge of LLM-specific threats and their mitigations.
Experience securing agentic systems: tool permissions, MCP servers, credentials and human approval steps.
AWS security experience and identity experience, ideally Okta.
Software engineering in Python or TypeScript.
Daily use of AI coding tools and agents in your own work.
Nice to have: experience with ISO 42001 or the NIST AI Risk Management Framework, or in a hardware or deep-tech company.
Compensation and equity
Competitive salary: commensurate with your experience, skills and location.
Equity and ownership: meaningful stock options.
Proximity bonus: an annual Living-Local Bonus if you live within 20 minutes of the office.
Retirement benefits: employer-contributed retirement plans.
Due to U.S. export control regulations, candidates' eligibility to work at OLIX depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible.
OLIX is a London-based AI chip company building optical compute infrastructure for frontier AI inference. Its product line includes specialized hardware components—chips, lasers, and interconnects—that allow each stage of token generation to run on purpose-built hardware rather than general-purpose GPUs. The X-1 platform distributes models across multiple chips linked by a slow-and-wide optical interconnect and uses a deterministic compiler to map work efficiently, while the DX-1 is the first decode accelerator that keeps models in on-chip SRAM without requiring advanced packaging or high-bandwidth memory. The company differentiates itself by providing end-to-end optical hardware designed for AI inference, rather than relying on traditional GPU-based inference pipelines. OLIX’s stated goal is to deliver the DX-1 to first customers by the second half of 2027 and to scale manufacturing and hiring across its global locations to support growth.
Explore more opportunities at OLIX