דרושים » הנדסה » AI Software Engineer

As the Product Manager for the AI models of core product offering, you will be responsible for defining and driving its product strategy, requirements, roadmap and delivery.

The product focuses on addressing real-world challenges in drug development by leveraging AI foundation models and multi-omic data to map and predict human immune response.

You will be working closely with our team of Data Scientists, Computational Biologists, Deep Learning Researchers and Engineers.

Location: Ramat Gan, Israel (Hybrid model)

What will you do?

Set the long-term vision and strategy for AI models, ensuring alignment with company goals.
Define product requirements and build a clear, prioritized roadmap for model development and delivery.
Lead benchmarking efforts to evaluate model performance against internal baselines and external best-in-class models.
Collaborate with AI research, data science, engineering, and biologists to translate scientific advances into scalable product capabilities.
Oversee the end-to-end lifecycle of AI models, including data strategy, training priorities, evaluation criteria, releases, and post-deployment monitoring.
Identify, validate, and prioritize high-impact use cases where improved model capabilities create meaningful business or scientific value.
Communicate strategy, progress, and key decisions to leadership and cross-functional stakeholders to drive alignment.

We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

our company Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our company Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will be shaping the future of security automation, working with product experts and exploring the latest Artificial Intelligence (AI) advancements.
The company Cloud AI Research team addresses AI challenges motivated by our company Clouds mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Responsibilities
Design and implement Model Context Protocol (MCP) tools for Security Operations (SecOps) to support different AI Security Agents.
Integrate AI models over Vertex AI and work with the product team to understand the requirements for the integration, developing the integration code, and testing the integration.
Develop backend in ASP.Net Core or Python. Design and develop the backend services that will be used to power the AI models.
Design and develop core components of the AI Chat infrastructure using Go. Build scalable and reliable services for managing real-time communication, managing user sessions, and integrating with AI models.
Research and identify new AI technologies and techniques that can be applied to improve the Secops Security Orchestration, Automation, and Response (SOAR) platform.

Join the group that builds the foundation of Mobileyes perception stack. We are looking for a key member to join our Visual GenAI team, dedicated to advancing state-of-the-art research in visual synthesis and Diffusion Models within a high-impact, real-world AV environment.
What will your job look like:
Own the full development lifecycle: from training generative models to adapting existing state-of-the-art architecture for concrete, real-world autonomous driving use cases.
Research, evaluate, and improve GenAI and computer vision models with a focus on scalable and clean Python implementation.
Collaborate with cross-functional teams, including AI researchers and perception teams, to integrate synthetic data into real-world AI applications.
Stay up to date with the latest advancements in AI, Generative Models, and Computer Vision.

We are seeking a superstar Frontend Engineer to join our development team. You will play a crucial role in designing and implementing user-facing features and interfaces for our web applications. You will collaborate with cross-functional teams, including product managers and backend / full stack developers, to create exceptional user experiences.
Responsibilities:
Implement and maintain frontend architecture and best practices to ensure clean, scalable, and maintainable code.
Translate UI/UX designs into technically feasible solutions, optimizing applications for performance and speed.
Conduct testing and debugging of frontend components to ensure seamless user experiences.
Collaborate with backend developers to integrate frontend components with server-side logic.
Participate in code reviews and contribute to improving code quality and team standards.
Stay current with modern frontend trends, technologies, and best practices, sharing knowledge with the team.
Troubleshoot and resolve frontend issues reported by users or stakeholders.

We are looking for an AI Engineer to play a central role in building, evaluating, and advancing Immunais AI models. You will own and evolve Immunais benchmarking and evaluation capabilities for foundation models and multimodal systems, while also working closely with modeling teams to support model development, iteration, and validation. This role sits at the intersection of software engineering, model understanding, and applied AI, with broad influence on how models are built, compared, and improved across the organization.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Own & Evolve Benchmarking - Design, build, and maintain Immunais benchmarking suite for foundation models and multimodal AI systems.
Define Core Abstractions - Create clean, extensible abstractions and APIs for datasets, tasks, models, metrics, and evaluation workflows.
Develop Metrics & Evaluations - Implement metrics that capture predictive performance, biological relevance, and multimodal alignment.
Support Model Development - Work closely with AI scientists and data scientists to integrate new models, tweak architectures, and enable rapid, fair iteration.
Bring in New Models & Baselines - Add external and internal models to benchmarks and ensure meaningful comparisons.
Explore Data When Needed - Dive into data and results to debug evaluations, understand model behavior, and unblock modeling work.
Enable Rigor & Reproducibility - Ensure evaluations are consistent, well-versioned, and trustworthy over time.

We are looking for a highly skilled and versatile Senior Backend Engineer to join our development team. As a Senior Backend Engineer, you will be responsible for designing, developing, and maintaining the backend infrastructure and components of our platform. As part of your role, you will also work on the frontend aspects of our platform and collaborate with stakeholders and cross-functional teams to optimize full-cycle system performance.
Responsibilities:
Design, develop, and maintain backend systems and APIs to support our web applications.
Implement and optimize data storage solutions, including databases, to ensure efficient and reliable data management.
work closely with front-end developers to integrate backend functionalities and ensure a seamless user experience.
Collaborate with product managers, stakeholders, and cross-functional teams to gather requirements, translate them into technical specifications, troubleshoot and resolve backend-related issues, and optimize system performance.

We are looking for a highly skilled and versatile Backend Engineer to join our development team. As a Backend Engineer, you will be responsible for designing, developing, and maintaining the backend infrastructure and components of our platform. As part of your role, you will also work on the frontend aspects of our platform and collaborate with stakeholders and cross-functional teams to optimize full-cycle system performance
Responsibilities:
Design, develop, and maintain backend systems and APIs to support our web applications
Implement and optimize data storage solutions, including databases, to ensure efficient and reliable data management
work closely with front-end developers to integrate backend functionalities and ensure a seamless user experience
Collaborate with product managers, stakeholders, and cross-functional teams to gather requirements, translate them into technical specifications, troubleshoot and resolve backend-related issues, and optimize system performance

Were looking for a hands-on DevOps Engineer with a strong cloud-native mindset to help build, maintain, and evolve our scalable infrastructure. This role requires deep expertise in AWS, Infrastructure as Code, Kubernetes, and a proactive approach to security and automation.

You'll work closely with engineering teams to streamline delivery, enforce platform standards, and enable a high-velocity development environment - all while keeping reliability and security top of mind.
This role is ideal for an experienced and highly skilled DevOps engineer who is passionate about building scalable and reliable infrastructure and thrives in a fast-paced, innovative environment.
What youll do:
Build, automate and manage cloud infrastructure on AWS.
Operate and enhance Kubernetes environments, including automation, security, observability and CI/CD integration.
Drive continuous improvement in developer experience and operational excellence.
Implement security-first infrastructure, tooling and workflow patterns.
Collaborate with Developers, Support and Product teams to ensure infrastructure and automations align with evolving requirements.
Contribute to technical design discussions and cross-functional decision-making.

As a GenAI Security Researcher, you’ll be deep diving into AI security challenges by running red teaming operations to find weaknesses in generative AI systems and their setup. Pioneering novel bypass techniques to test the latest AI security defenses. Identifying system flaws, driving remediation efforts, and fortifying overall AI security to help building robust, secure, and future-ready models. Partnering with teams to automate security testing and define enterprise best practices. Staying ahead of the curve in AI security, ethical hack.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.