דרושים » מחשבים ורשתות » SecOps Engineer

abra is seeking a Lead AI Engineer! We are seeking a Lead AI Engineer to spearhead the design and implementation of large-scale enterprise AI solutions. This is a hybrid-role (50/50 architecture and hands-on development) with a core focus on RAG (Retrieval-Augmented Generation) systems and AI Agents in a hybrid environment ( Azure + On-Prem ). As a key member of the team, you will drive technological innovation and integrate advanced AI capabilities into the organizational workflow. Responsibilities
* Advise business units and lead AI use-case discovery and execution.
* Design AI solution architectures based on LLMs, RAG, and AI Agents
* Perform hands-on end-to-end development of AI services.
* Build RAG pipelines, including ingestion, chunking, embeddings, and retrieval strategies.
* Integrate AI solutions with enterprise systems ( SharePoint, APIs, and internal platforms
* Develop reusable components for the core AI platform.
* Work extensively with Microsoft 365, Graph API, and Teams
* Implement robust security mechanisms, permissions, and Data Loss Prevention (DLP).
* Mentor teams and establish AI development Best Practices Full-Time | Haifa

The Cloud Support Engineer will oversee, troubleshoot, and optimize cloud infrastructure for clients. This position requires deep knowledge of cloud operations, security, and performance optimization, along with a commitment to delivering outstanding support. The engineer will work directly with clients to ensure operational reliability, respond to incidents, and support secure migrations and optimizations.

Responsibilities:
Support & Troubleshooting:
Provide 24/7 monitoring of cloud infrastructure using NOC, proactively identifying and resolving issues to maintain high availability and system reliability.
Client Collaboration:
Act as the main point of contact for cloud-related inquiries, providing real-time troubleshooting support and practical guidance.
Security & Compliance:
Implement and monitor security protocols, including firewalls, access controls, and encryption, to protect client environments from vulnerabilities.
Conduct security assessments, manage access controls, and ensure that client environments meet industry standards and compliance requirements.
Documentation & Reporting:
Maintain comprehensive documentation of troubleshooting steps, configurations, and best practices.

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve the usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

Were looking for a highly skilled Full Stack Developer to join our engineering team. In this role, youll design, develop, and maintain both backend and frontend systems that power our production and internal applications. Youll work across teams to deliver user-facing features end to end, building scalable, high-availability solutions that support production environments and future web-based platforms.
What will your job look like?
Design, develop, and maintain scalable backend services primarily using Node.js (and Python where applicable), applying modern web frameworks and industry best practices.
Build rich, responsive user interfaces using React, Angular, or Vue.
Develop end-to-end features, integrating frontend and backend components into cohesive, production-ready solutions.
Design and manage databases (SQL and NoSQL), focusing on performance, reliability, and solid data modeling.
Support and enhance production applications, ensuring high availability, resilience, and smooth operation across environments.
Build, containerize, and deploy applications using Docker and Kubernetes in Linux-based setups.
Implement and maintain CI/CD pipelines using GitLab CI for automated testing, integration, and deployment.
Work with AWS services to deploy, monitor, and scale cloud-based applications.
Contribute to system architecture, participate in code reviews, and mentor junior developers when needed.
Collaborate closely with product, design, and cross-functional engineering teams to deliver high-quality user experiences.

We're seeking a Software Engineer to join our development team supporting our software group.

What makes this role unique is your direct impact on AI-powered innovation - you'll be building intelligent systems that drive the development of next-generation cloud technologies.
You'll work at the fascinating intersection of AI driven automation and cloud platform development, implementing automation solutions that directly enhance the productivity of our engineers. Unlike typical roles, you'll have the opportunity to influence both AI implementation and core architecture while collaborating with cloud technology experts.
The position offers rare exposure to cutting-edge cloud computing technology combined with the latest advances in artificial intelligence. You'll be part of a team that values technical excellence, working in an environment where your ideas can quickly transform from concept to reality.
In this role you will create groundbreaking platforms that directly shape the way we work. You'll develop smart automation solutions, implement AI-driven tools and workflows and be part of AI transformation.

Be part of an elite team developing cutting-edge AI infrastructure automation solutions supporting Annapurna Labs' innovative technology development. Shape the future of cloud computing while working with state-of-the-art cloud and AI technologies in a fast-paced environment.

Key job responsibilities
* Develop and deploy AI-powered solutions and AWS cloud services that transform development workflows.
* Lead technical innovation by driving architectural decisions and GenAI technology adoption.
* Champion AI transformation across engineering teams through education and hands-on implementation.
* Partner with elite cloud teams to identify opportunities and deliver cutting-edge solutions.
* Ensure system excellence through participation in on-call rotations and reliability initiatives.

Come join the Agentic AI science team in building the next generation models for intelligent automation.

We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.