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we are looking for a Frontend Team Lead to serve as the senior technical owner of the frontend domain across the company. This is a hands-on leadership role responsible for frontend architecture, shared infrastructure, technical roadmap, and team leadership. You will work closely with product managers, designers, architects, and engineers to build excellent user experiences and create the frontend foundations that support growth.
Responsibilities:
Own the frontend technical roadmap, architecture, and shared infrastructure across the company
Lead the design and development of high-quality frontend components, modules, and user-facing features
Define standards, patterns, and best practices that enable frontend development at scale across
Lead, mentor, and grow a team of frontend engineers
Work closely with product managers and designers to deliver excellent customer and user experiences
Stay hands-on in implementation and technical decision-making, setting a high bar for quality, performance, and usability
Evaluate and introduce technologies, tools, and architectural approaches that strengthen the frontend domain
Help shape how the frontend function grows to meet the current and future needs of the organization

we are looking for a Senior AI Engineer.
As a Senior AI Engineer on the Guardian Agents team, you will develop both our autonomous "digital employees" that execute security programs and the Control Plane that governs them. You will build a platform that allows customers to calibrate agents through conversation, ensuring human feedback is transformed into persistent organizational knowledge. By engineering these closed-loop systems, you enable agents to learn, evolve, and deliver accurate, goal-driven security outcomes at scale.
Architect Autonomous Agents: Build goal-driven agents for complex security tasks like false-positive reduction and automated triage.
Build the Control Plane: Develop the infrastructure for Human-in-the-Loop (HITL) feedback, natural language calibration, and stateful memory systems.
Engineer for Growth: Implement evaluation frameworks and "organizational memory" to ensure agents stay accurate and follow historical security precedents.
Bridge AI & Engineering: Collaborate in a "Core Pod" with Security Researchers and Data Scientists to turn raw security signals into scalable, productized agent behaviors.
Scale Data Pipelines: Integrate agents with Big Data foundation to ensure real-time context and tenant-safe execution.

we are looking for a Senior AI Researcher.
This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. Youll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response.
The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation.
Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics.
Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines.
Publish and share: produce Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty.
Build tools: Several open source libraries exist (like Anthropics attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments.

we are looking for a Senior Backend Engineer.
Job Description:
Assume ownership of features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Deliver high-quality engineering applying common engineering principles
Work on building GenAI & Copilots security solutions
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews, and Code Reviews

We are looking for a hands-on technical leader to drive the design, implementation, and evolution of our cloud infrastructure. Youll take ownership of building scalable, reliable, and secure systems that empower engineering teams to deliver with speed and confidence. Youll operate in a fast-paced environment, balancing innovation and pragmatism, and fostering a culture of continuous improvement and operational excellence.
Responsibilities:
Lead end-to-end technical initiatives to design and manage cloud infrastructure across AWS and other multi-cloud environments.
Build and evolve automation frameworks and internal tools using Python, Bash, and modern infrastructure-as-code technologies (Terraform or equivalents).
Architect, implement, and maintain CI/CD pipelines that streamline delivery and improve developer productivity.
Champion observability, reliability, and performance - establishing best practices around monitoring, alerting, and system health visibility.
Collaborate closely with cross-functional engineering teams to enable scalable deployments, efficient development workflows, and resilient production systems.
Drive technical tradeoff decisions that balance speed, cost, and reliability in a dynamic, growth-oriented environment.
Act as a mentor and advocate for DevOps culture, enabling teams to take ownership of infrastructure and operations.

we are seeking a Hands-on Architect to design, build, and evolve the core of next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.

we are seeking a highly technical, partner-facing Integration Engineer to join our Network team. In this role, you will be the primary technical driver for onboarding partners to the Network and maintaining quality and product excellence with existing partners.
You arent just following a manual; you are a technical consultant, a troubleshooter, and a bridge builder. You will work closely with R&D, Product, and Business, ensuring that every provider integration is seamless, secure, and scalable.
What Youll Do:
Own the Integration Lifecycle: Lead partners from initial discovery through to production go-live, serving as their dedicated technical Point of Contact.
Act as Tier 1 R&D: Deep-dive into the code to answer complex architectural questions. Youll debug, write code, analyze API logs, and solve technical hurdles.
Bridge the Gap: Translate business needs into technical requirements. Youll help partners understand how to map their existing infrastructure to our protocol.
Collaborate Cross-Functionally: Work hand-in-hand with Product to relay feedback from the field and with Business to ensure the providers commercial goals are met.
Scale the Process: Develop technical documentation, tools, and integration best practices to streamline the onboarding process and making it more intuitive.

Join the Blockchain Backend Infrastructure team and take a position in building and maintaining blockchain management platform. Youll be responsible for building cutting-edge blockchain infrastructure while implementing high-throughput, real-time scalable software solutions.
As a Blockchain Engineer, you will be instrumental in the research and integration of blockchain technologies into the platform. Your responsibilities will include collaborating closely with foundations and developers to gain a deep understanding of blockchain protocols and on-chain projects, then applying that knowledge to implement new features within the platform.
You will focus equally on external protocol integration patterns and internal wallet infrastructure. This role serves as a technical bridge between raw on-chain capabilities and the wallet features delivered to our customers.
What Youll Do:
Implement modern backend applications and infrastructure in a microservices architecture, using the latest technologies and development practices.
Deep dive into the latest blockchain technology and become an expert in the fundamentals, protocols, and features of the chains we support.
Collaborate effectively with developers, engineers, and other roles while demonstrating strong independent problem-solving abilities.
Contribute to production reliability through on-call participation, incident response, and post-incident follow-ups.

As a Senior Software Engineer, you will play a key role in developing and maintaining Nodes Access platform, including its applications, services, and underlying systems. Youll work with a modern backend tech stack, leveraging AI, microservices, databases, Kubernetes, Ansible, CI/CD, and more to build scalable and resilient solutions.
You will be responsible for:
Implementing an AI framework to manage and orchestrate a fleet of services and blockchain RPC nodes, and building AI agents for enhanced platform capabilities.
Implementing modern BE applications and infrastructure in a microservices architecture, utilizing common networking protocols, object-oriented design, and cutting-edge techniques - while leveraging work with AI Agents and Skills.
Establishing a modern CI/CD pipeline in a microservices architecture, using best practices, tools, and techniques.
Ensuring the robustness and maintainability of our BE services and the overall application.
Collaborating effectively with other developers, engineers and other roles, while also showcasing independent problem-solving abilities.
Demonstrating a strong command of the blockchains ecosystem in high-load scenarios while staying updated with the latest technologies and practices.
Dive deep into the latest blockchains, seamlessly incorporate them into our product, and become an expert in the fundamentals, protocols and features of the blockchains.
Ensuring that platform remains at the forefront of blockchain technology!