We are seeking a Senior GrapheneOS Security Engineer to architect, deploy, harden, and maintain sovereign, de-Googled Android security environments built entirely on GrapheneOS. This role focuses on creating a fully independent, Big Tech–decoupled mobile ecosystem for sensitive communications, on-device privacy, and operational security — suitable for executives, high-risk individuals, and organizations facing advanced threat models.The engineer will design a zero-trust, end-to-end secure mobile stack, ensuring the system operates without Google Play Services, cloud dependencies, or centralized telemetry
We are looking for an exceptional iOS Security Engineer with deep expertise in hardened iOS builds, secure OS customization, and advanced mobile threat defence. You will help design, build, and maintain a military-grade iOS security stack, ensuring device integrity, resilience, and resistance against adversarial threats in high-risk environments.This is a highly technical role requiring strong OS-level understanding, reverse engineering skills, and hands-on experience in securing iOS beyond standard enterprise MDM controls.
Elile builds mission-critical AI systems for national security and energy operations. Our engineering challenges sit at the intersection of AI, distributed systems and data pipelines.We are looking for a hands-on Technical Lead who can lead by example the design and engineering execution, working closely with product and domain experts to ship systems that must be reliable, secure, and performant at scale.
We are seeking an experienced Senior Infrastructure Engineer to lead the design, deployment, and maintenance of our on-premises Kubernetes-based data center infrastructure. This is a hands-on role encompassing physical hardware, virtualization, and cluster administration. You will ensure high availability, performance, and scalability while enabling secure and efficient workloads for both developers and operations.
We are hiring a DevOps / Platform Engineer to build and support internal developer platforms running on our Kubernetes-based on-prem infrastructure. You’ll own CI/CD pipelines, infrastructure-as-code automation, and GitOps workflows to accelerate development and deployment velocity. This role ensures our development teams can build, ship, and scale with minimal friction in a secure and resilient environment.
We're building AI-native applications that transform messy, real-world data into actionable intelligence. You'll work on cutting-edge AI agents, production systems, and applications that directly impact critical decision-making. This is a builder's role - we need someone who ships fast, learns faster, and thrives with minimal supervision.
We are seeking a highly skilled AI Quality Engineer to join our National Large Language Model (LLM) Project. This key role will focus on establishing and implementing robust data quality frameworks, evaluation methodologies, and quality gates throughout the LLM development lifecycle. The ideal candidate will ensure our Arabic LLM meets the highest standards of performance, reliability, and cultural appropriateness before being deployed to 20,000 government employees.
We are seeking an experienced AI Expert and Consultant to join our National Large Language Model (LLM) Project, replacing ChatGPT usage in the workplace. As a key technical advisor, you will provide expertise across the full LLM stack, from model training and fine-tuning to deployment and RAG implementation.
We’re looking for a systems-first AI Architect to define and own the technical architecture behind our multi-agent intelligence platform. You’ll design secure, scalable AI infrastructures leveraging LLMs, SLMs, symbolic reasoning, and neuro-symbolic hybrid models — deployed across mission-critical infrastructure like energy plants and data centers.
We’re hiring a hands-on AI Tech Lead to guide engineering delivery across complex AI infrastructure projects. You’ll lead implementation of AI pipelines, mentor teams, and ensure our agentic AI stack scales from research to robust production.
Work on cutting-edge AI infrastructure for real-time, decision-making agents. You’ll help build multi-agent systems that drive autonomous action across energy, compute, and secure networks.
Join our AI team to build learning agents for complex, high-frequency decision environments. You'll develop RL strategies for infrastructure optimization and anomaly response.
Apply statistical modeling and time-series forecasting to high-frequency telemetry data. Your work will inform AI agents and drive autonomous decision-making across infrastructure.
We’re looking for a Data Engineer to build scalable pipelines across secure networks and AI ingestion layers. You’ll manage data flows across structured, unstructured, and streaming inputs.
Join our platform team to scale and secure AI operations. You'll deploy ML pipelines in air-gapped and hybrid environments with reliability, reproducibility, and observability.
Build and secure infrastructure for AI systems operating across edge, cloud, and air-gapped deployments. You'll enable seamless orchestration and ensure low-latency performance.