דרושים » הנדסה » AI Engineer

As our company continues to grow, an exciting opportunity awaits a dynamic individual to join our R&D team as an AI Engineer. We are seeking a highly skilled AI Engineer with expertise in LLMs, computer vision, NER, statistical modeling, and classic ML. The ideal candidate will have strong backend software engineering skills, advanced proficiency in Python, and extensive experience in the end-to-end development, deployment, and maintenance of AI-driven systems. This role requires a team player with a can-do attitude who thrives in a collaborative environment, bringing innovative ideas from concept to scalable, high-quality products.
Responsibilities
Design and develop LLM-powered AI solutions (e.g., intelligent agents, semantic search, document understanding) for production environments.
Implement integrations with multiple data sources and APIs to extend AI capabilities and automate workflows.
Build and optimize end-to-end AI pipelines, from data ingestion and preprocessing to model deployment and monitoring.
Collaborate with product, data, and UX teams to ensure solutions address real business needs and deliver measurable value.
Continuously evaluate, fine-tune, and improve model performance and scalability.

We are seeking an AI Engineer to design, build, and deploy AI-powered capabilities within our product.
This role focuses on integrating machine learning models and large language models (LLMs) into scalable software systems and delivering reliable AI-driven features to production.
The AI Engineer works at the intersection of software engineering, AI systems, and infrastructure.
transforming AI technologies into practical applications.
Responsibilities:
Build applications powered by machine learning and large language models (LLMs).
Implement capabilities such as intelligent assistants, semantic search, automation, and recommendation systems.
Integrate AI functionality into backend services and product workflows.
Design and implement retrieval pipelines, embedding pipelines, and inference workflows.
Build Retrieval-Augmented Generation (RAG) systems and AI-driven services.
Create scalable AI architectures capable of handling production workloads.
Package and deploy AI models as production services.
Optimize inference performance, scalability, and latency.
Monitor AI services to ensure reliability and performance.
Develop backend services and APIs that expose AI capabilities.
Integrate AI systems with databases, internal services, and external APIs.
Contribute to system architecture and microservices design.
Implement logging, metrics, and observability for AI systems.
Track model performance and system reliability in production environments.
Work closely with product managers, engineers, and data scientists.

Were looking for a seasoned R&D Team Leader to join our top-notch technology R&D team, reporting directly to the VP R&D. In this role, you will drive technological innovation, oversee the development of cutting-edge features, and guide the team in delivering scalable, high-quality products. You will combine hands-on technical leadership with strategic oversight, ensuring that our platform continues to evolve and deliver impactful solutions for our clients. As part of an AI-first company, our web team is deeply involved in creating and integrating AI-driven features to enhance our digital offerings.



Key Responsibilities:

Lead the R&D team in developing new features and enhancing our platform.
Oversee the end-to-end development lifecycle, from ideation to deployment.
Ensure high-quality code, scalable architecture, and smooth product delivery by implementing best practices in software development.
Mentor and support team members in their professional growth.
Troubleshoot and resolve complex technical challenges in collaboration with the team.
Collaborate with cross-functional teams including Product, Data, and AI to align development efforts with company goals.
Drive innovation and stay updated on new technologies to keep us at the forefront of the industry.

As an xEngineer, youll combine deep technical expertise with system-level thinking and product ownership, applying AI across the development lifecycle to build impactful systems, make thoughtful architectural decisions, and drive technical excellence from idea to production. In your day-to-day, you will:
Design and own end-to-end systems and features that serve millions of users, taking responsibility across stack boundaries - from product flows and user experience to APIs, data models, and production systems
Apply AI-powered tools and workflows across planning, design, implementation, testing, debugging, and refactoring
Work with modern technologies and platforms (e.g., TypeScript, React, Node.js, Java, cloud, and CI/CD), continuously evolving your toolkit with AI-powered tools
Lead architectural thinking by making thoughtful trade-offs around scalability, reliability, security, performance, and maintainability
Collaborate closely with product managers, designers, and engineers to shape solutions while ensuring production quality, observability, and long-term system health.

Are you an AI Analyst ready to translate raw model output into a reliable, high-quality production system? Do you excel at the craft of Prompt Engineering and thrive on the challenge of ensuring Generative AI output meets rigorous quality standards in mission-critical applications? Join our R&D Operations Team. You will be the AI analyst responsible for the end-to-end quality, performance, and operational tuning of our Generative AI-driven support system (Co-Pilot). Your mission is to actively shape the model's intelligence, govern the data it uses, and implement the mechanisms that guarantee its accuracy, directly accelerating our customer support engineering velocity.
Key Responsibilities
Support & Customer Advocacy: Champion the Support Journey in Engineering. Develop in-product support instructions that reflect and address real incoming cases, enhancing the quality and effectiveness of AI feature solutions.
Model Quality Validation: Use existing evaluation platforms and methodologies to validate production models. Monitor quality metrics to continuously assess and rank AI answers for accuracy and reliability.
Prompt Engineering & CT Loop: Drive the Continuous Training loop through systematic prompt engineering (refining and versioning inputs). Analyze failures to define R&D actions or features needed to close model performance gaps.
AI Knowledge Governance: Act as AI Content Governor, implementing controls to verify and ingest compliant knowledge base content, ensuring a quality data source.
Cross-Functional SME: Serve as the AI Support Co-pilot Subject Matter Expert, partnering with R&D and Support Enablement to translate quality issues into core model logic improvements and feature development.

We are looking for a Hands-On Agentic AI Engineer to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization.
The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end - writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

we are looking for a AI Backend Engineer.
As the AI Backend engineer , you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
Build scalable APIs and microservices that interface with LLMs and AI frameworks
Implement agent orchestration systems, tool calling mechanisms, and workflow engines
Optimize performance and reliability of AI-powered applications at scale
Develop data pipelines for training, evaluation, and monitoring of AI systems
Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions

We are seeking a skilled Backend Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.
You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.

We are looking for an Engineering Manager to lead the frontend development of the XSOAR & Agentix team within the Cortex Platform. You will be joining a fast-moving group developing advanced solutions in one of our companys most innovative and technically complex areas.
We are not just looking for a standard engineering manager. We are seeking an AI-Native leader - someone who lives and breathes AI, combines hands-on technical depth with managerial excellence, and knows how to wield AI as a massive force multiplier for their team.
Responsibilities
AI-Driven Team Leadership: Lead, mentor, and grow a team of frontend engineers. You will embed AI-first coding methodologies into the team's DNA, moving beyond basic usage to systemic adoption of automated testing, intelligent code reviews, and code generation.
Technical Strategy: Drive the frontend architecture for our Automation platform.
You will oversee the design of complex interfaces that manage advanced playbooks and automated incident response workflows.
Accelerated Delivery and Quality: Drive the timely achievement of roadmap goals. Utilize AI coding assistants and cutting-edge workflows to dramatically quicken delivery while simultaneously boosting architectural integrity and code quality.
Cross-Functional Collaboration: Partner closely with Product Management, UX, and Backend engineering to translate complex security automation requirements into intuitive, seamless user experiences.
The AI-Native Leadership Profile
Visionary and Strategic Execution
You possess a clear, forward-looking thesis on how AI will transform software engineering over the next 2-3 years, and you are adept at executing against this vision.
Practical AI Implementation
You are a builder, not just a user: you have successfully designed and implemented AI-driven development workflows that your previous teams actively adopted.
Continuous Experimentation
You are an active experimenter, constantly testing new AI tools, LLMs, and prompt engineering techniques, and integrating the best of them into daily engineering operations.

Join us to build cutting-edge systems, collaborate with world-class engineers, and shape how autonomous software is built in production.
We are looking for an AI Engineer to join the hunt.
Responsibilities:
Take part in the design and development of AI-driven features for our Dev-Native Observability Platform.
Collaborate with cross-functional teams to integrate AI solutions into existing systems.
Contribute to the product roadmap by identifying AI opportunities and providing insights as a potential end user
Stay updated with the latest AI trends and technologies to ensure our platform remains cutting-edge.