דרושים » תוכנה » AI Engineer

As a Senior Software Engineer within the AI Security team, you'll play a critical role in developing specialised tools and services to secure our cutting-edge Agentic AI solutions. Youll collaborate closely with architects, researchers, and security experts to translate security research into robust, production-ready software systems focused on safeguarding AI initiatives.

What Youll Do:
Develop, maintain, and optimise high-quality backend software systems and APIs, specifically designed for Agentic AI security and safety.
Translate advanced security research findings into scalable software tools, services, and guardrails for securing AI models.
Collaborate with AI security researchers and architects to implement practical solutions for identifying and mitigating vulnerabilities unique to Agentic AI systems.
Contribute to engineering best practices (code reviews, unit testing, CI/CD pipelines) and ensure technical excellence across the development lifecycle.
Take ownership of significant features and services from conceptualization through deployment, continuously improving existing solutions.
Build and deploy data pipelines and ML model training pipelines.

This role requires a blend of deep research, secure systems design, and hands-on prototyping. You will pioneer new approaches to secure the AI development lifecycle, create systems that govern how agents interact safely with tools and APIs, and build solutions that bake security into the fabric of our agentic platforms. Your work will be crucial in shaping our long-term AI security roadmap and establishing new industry standards.

What youll do:
Design and build defenses that secure our Agentic AI ecosystem, our LLMs, and our cutting edge AI models.
Proactively identify and mitigate risks in this emerging domain by creating foundational security solutions.
Focus on developing scalable, secure-by-design frameworks that empower developers to build trustworthy applications.
Continuously drive and implement cutting-edge research and standards in agentic identity, authorization, and permissioning while converting those insights into production-grade controls and services deployed across the platform.

This role requires a blend of deep research, secure systems design, and hands-on prototyping. You will pioneer new approaches to secure the AI development lifecycle, create systems that govern how agents interact safely with tools and APIs, and build solutions that bake security into the fabric of our agentic platforms. Your work will be critical in shaping our long-term AI security roadmap and establishing new standards for the industry.

What youll do::
Design and build defenses that secure our Agentic AI ecosystem, our LLMs, and our cutting edge AI models.
Proactively identify and mitigate risks in this emerging domain by creating foundational security solutions.
Focus on developing scalable, secure-by-design frameworks that empower developers to build trustworthy applications.
Continuously drive and implement cutting-edge security in agentic ai, and LLM use througout the company while converting these insights into production-grade controls and services deployed across the company`s platform.

Company Overview: our company's mission is to enable its customers to protect and save lives, accelerate justice, and preserve privacy in communities around the world. we are a global leader in Digital Intelligence solutions for the public and private sectors, empowering organizations to master the complexities of legally sanctioned digital investigations by streamlining intelligence processes. Trusted by thousands of leading agencies and companies globally, our company's Digital Intelligence platform and solutions transform how customers collect, review, analyze, and manage investigative digital data in legally sanctioned investigations. Position Overview: Join us in revolutionizing digital investigations. In this role, youll work on cutting-edge tools that help forensic experts, detectives, and law enforcement solve cases faster, protect lives, and safeguard critical data. Make an impact every day by shaping technologies that drive justice and keep communities safe. Take the lead in driving a cross-functional development team to deliver impactful features from design to deployment. Collaborate with stakeholders and fellow team leaders to create solutions that truly delight our customers. Be at the forefront of modernizing our tech stack, shaping the target architecture and defining the future technology roadmap. Your leadership will directly influence innovation, team growth, and the success of our products. Key Responsibilities: Lead and mentor a cross-functional team of frontend, backend, and DevOps engineers. Oversee architecture, development, and deployment of scalable, maintainable systems. Manage and optimize AWS cloud and database infrastructure. Apply AI-driven tools to enhance productivity, automation, and innovation. Collaborate with stakeholders to align technology with business goals. Ensure high standards in code quality, TEST automation, security, and delivery processes.

Office Location:
Petah Tikva

Working as a bridge between Data Science and Engineering, you will collaborate across various teams, supporting both data science and engineering as well as liaising with architecture and product management to help shape the Impact AI roadmap and accelerate our value to our customers.

Job Description
What you get to do in this role:  

Data Extraction and Pre-processing: Normalizing and pre-processing data, creating datasets, organizing outcomes, documenting data-quality checks.

Model Evaluation, Implementation & Maintenance: Evaluating, selecting, and implementing models locally, setting up automated drift / performance monitoring in production.

Solution Design: Contribute to solution diagrams.

Education and Training: Educating engineers on data and model management best practices through individual and team sessions.

Presentation and Documentation: Preparing and presenting explanatory documents and presentations to PMs and relevant internal customers .

Production Deployment of Models: Bringing Python models to production, paying attention to non-functional requirements such as predictive accuracy, robustness, security, performance, and storage.

Are you passionate about building smart, multidisciplinary systems that combine cutting-edge hardware, software, computer vision, and AI? Do you enjoy shaping product architecture and leading complex technological processes from concept to delivery?
the global leader in AI-automated sports production, is looking for an experienced Senior System Engineer to join our product development team. In this role, youll take ownership of the end-to-end system design of our smart camera solutions. You will define system requirements, architecture, and integration processes ensuring the delivery of high-quality, scalable products that meet market and business needs.

As part of your role, you will:
Report to the VP of R&D and work closely with cross-functional teams including product, hardware, software, and AI.
Define and collect system requirements in collaboration with product managers, customers, and technical stakeholders
Design end-to-end system architecture, including hardware, software, computer vision components, and communication interfaces
Write detailed technical documentation: System Requirements Specs (SRS), Interface Control Documents (ICD), Design documents, and test plans
Lead integration processes of hardware and software components, including debugging and root cause analysis
Collaborate closely with teams across hardware, software, algorithms, QA, and manufacturing
Own the planning and execution of system-level Verification & Validation (V&V) processes
Analyze system performance, identify bottlenecks, and propose effective system-level solutions
Support system testing, installations, and customer deployments from early trials to post-launch support
Evaluate new technologies and lead the selection and implementation of innovative system solutions

Why Youll Love Working Here:
Be part of a global sports-tech company shaping the future of sports broadcasting
Collaborate with top engineers on impactful, real-world technology
Work in a dynamic and agile environment with exciting growth opportunities
Help bring intelligent camera systems to sports fans around the world

We are interested in welcoming an MLOps Engineer to join our diligent team and design, build, test, document, and debug machine learning infrastructure, following industry and company standards

looking for a Senior DevOps Engineer with hands-on experience in cloud infrastructure, particularly in Microsoft Azure and AWS, to work closely with our clients and provide technical leadership in building, automating, and managing cloud-native solutions.

This role requires a mix of deep technical expertise, consulting maturity, leadership skills, and the ability to communicate complex concepts effectively to a variety of stakeholders.

Responsibilities:

Planning, design, build and optimizing Azure-based cloud infrastructure solutions
Developing and managing efficient CI/CD processes to enable continuous integration and delivery
Operating and maintaining Kubernetes clusters, ensuring their reliability, scalability, and performance
Collaborating with cross-functional teams to define and implement scalable, reliable, and secure Azure cloud architecture
Driving innovations in Azure cloud infrastructure space and staying up to date with the latest Azure technologies and industry trends
Developing automation scripts and frameworks to improve operational processes and procedures within the Azure ecosystem