לוח משרות דרושים הייטק AI משרה מלאה

We are looking for an experienced and passionate R&D Team Lead to join our fast-growing company and lead our AI Engineering team- a new and growing team responsible for building production-grade AI features and infrastructure that power our product.
AI is central to our product strategy and growth. This team plays a pivotal role in bringing intelligence and automation to every part of our platform. This is a unique opportunity to take part in shaping one of the companys newest and most strategic initiatives, combining leadership, architecture, and hands-on development in a dynamic environment.
Our team moves fast, thinks creatively, and delivers high-quality, scalable systems using the latest technologies, all while enjoying the ride!
What Will You Do?
Lead the architecture, design, development, and deployment of AI driven product in production.
Manage and mentor a small, growing team of talented engineers, setting technical direction and driving excellence.
Youll be accountable for the performance, scalability, and adoption of AI-driven features across the product.
Work hands-on in Go and Python, delivering high-quality, testable, and efficient code.
Design and implement AI-based logic, automations, and data-driven capabilities deeply integrated into the product.
Collaborate with other R&D teams to bring intelligent capabilities into the companys core platform.
Define and promote best practices for scalability, reliability, and observability.

We are looking for a hands-on AI Engineer to help build our core intelligence engine and infrastructure. In this role, you will work on exploring and building autonomous solutions that execute security workflows end-to-end, moving capabilities from research concepts to scalable production features.
What You Will Build
● Internal AI Infrastructure: Contribute to a shared internal AI platform for models, data, training, and observability.
● Autonomous Capabilities: Build solutions that automate complex security operations and investigative workflows.
● Active Defense Mechanisms: Help productize runtime guardrails into customer-facing protective controls and monitoring systems.
Responsibilities
● Develop and implement the engineering backend for AI-driven security features.
● Build and maintain the internal mechanisms that allow for safe and scalable AI feature deployment.
● Collaborate with AI Researchers to translate findings into production-grade autonomous workflows.
● Implement runtime guardrails and AI-focused data security capabilities.

We are looking for a visionary AI Lead to build our internal AI platform and architect adaptive intelligence systems that serve as a dedicated security architect for each of our customers. You will lead a team of AI Researchers and Engineers to move beyond simple integrations and build true autonomous security solutions.
What You Will Build
● Autonomous Workflows: Build agents that execute security workflows end-to-end, automating detection, investigation, and response processes.
● Runtime Defense: Productize research into active runtime guardrails and defensive control mechanisms.
● Internal AI Platform: Build the shared infrastructure for models, training, and evaluations to enable safe, scalable AI features across the organization.
● Adaptive Intelligence: Oversee the development of models that learn from customer-specific environments to generate high-signal, personalized insights.
Responsibilities
● Lead the AI Research Group, managing AI Researchers, Engineers, and DevOps.
● Own the intelligence engine end-to-end, delivering next-generation analytics and contextual visualization features.
● Drive the strategic "build vs. partner vs. buy" decisions for cloud prevention and AI controls.
● Collaborate with the Threat Team to develop AI-driven threat detections against emerging attack vectors and novel AI threats.

Were looking for a junior engineer or 4th-year student with hands-on experience in business process automation and familiarity with GenAI tools. This role combines AI, operations, and automation, and focuses on helping standardize internal business operations, understand existing workflows, and build automations that create clear, measurable impact across teams such as Operations, HR, Finance, Legal, Sales, Marketing, and IT.
In this role, you will work on both internal and customer-facing projects. On the internal side, youll support HubSpot and FinOps tracking and automation, and help the company adopt AI and automation tools across day-to-day business operations, including Sales and Marketing.
On the customer-facing side, youll support process mapping, GenAI maturity assessments, and cross-team productivity work. Youll use automation tools such as Zapier, Make, and n8n, and take part in exploring and implementing agentic AI workflows. This includes building automated flows that combine LLMs with business rules, connected tools, and task execution.
This role combines elements of Operations, GenAI, and Industrial Engineering, and focuses on helping enterprise and startup customers adopt GenAI capabilities in a practical way.
Key responsibilities :
Build and maintain basic financial tracking dashboards and support FinOps processes
Support the implementation of AI tools for Sales and Marketing, including go-to-market activities
Automate HubSpot tracking and connect CRM data with AI-based systems
Analyze and document existing business workflows across different departments
Identify automation opportunities and build secure workflows using Zapier, Make, or n8n
Create, maintain, and analyze GenAI maturity assessments
Support customer success activities to ensure high satisfaction and continued growth

Weve served many satisfied customers globally and are now hiring a hands-on GenAI leader to join our GenAI Center of Excellence in Israel.
As a Generative AI Engineering Lead, you will lead the design, development and implementation of cutting-edge Generative AI solutions for our clients - ranging from Fortune 500s and enterprises to leading SMBs and startups. In this hands-on role, you will work closely with software, AI & data engineers, data scientists, architects and PMs to drive innovation and efficiency through AI solutions.
Responsibilities:
● Lead (hands-on) the design and development of state-of-the-art Gen-AI applications and products for top-tier clients
● Build and lead a team of GenAI engineers working across the stack to deliver end-to-end production-grade AI solutions to complex business problems
● Lead client AI discovery processes and sessions to deeply understand the customers needs and provide AI implementation recommendations
● Provide customers with Generative AI expertise and advisory through architecture designs, PoCs and solution reviews
● Work closely with our teams of cloud experts to deploy AI solutions across all major cloud environments (Azure ,AWS, GCP)
● Collaborate with cross-functional teams to translate business requirements into technical specifications for AI-powered applications
● Stay up-to-date with the latest GenAI technologies, research and trends

We are seeking a hands-on AI Team Lead to guide a small, high-performing, cross-border team focused on applied computer vision and deep learning. This role combines strong technical leadership with business awareness, requiring a balance between innovation and reliable delivery.
The AI Team Lead will take ownership of model development from concept to production, ensuring that every solution delivers clear product value and aligns with commercial objectives. You will work closely with product, engineering, and business stakeholders to translate real-world farming challenges into scalable AI solutions.
What Youll do:
Lead a team of two-three AI engineers and a data analyst.
Stay hands-on with modeling, architecture, and experimentation (PyTorch, TensorFlow, OpenCV, etc.).
Prioritize projects and research directions based on business value, not academic curiosity.
Translate business needs into clear technical milestones, balancing accuracy vs. speed, performance vs. ROI.
Define and enforce quality standards in modeling, validation, and deployment.
Mentor and grow a strong, self-driven technical team through feedback, reviews, and clear objectives.
Collaborate daily with business, backend, and QA teams to align expectations and adjust priorities quickly.

Were seeking a Team Lead - Generative AI Engineer to lead a team of engineers in designing, developing, and deploying production-grade AI systems. This role is ideal for someone who is both a strong technical contributor and an experienced people leader-capable of driving architecture decisions, mentoring team members, and delivering innovative AI solutions at scale.
You will be responsible for guiding the end-to-end lifecycle of Generative AI applications, ensuring technical excellence, scalability, and alignment with business needs. This includes working across backend systems, RAG pipelines, prompt engineering, and cloud-native deployments.
Key Responsibilities
Leadership & Team Management Lead and mentor a team of AI/ML engineers, fostering growth and technical excellence.
Define and enforce coding standards, architectural patterns, and best practices.
Collaborate with stakeholders to translate business needs into AI-driven solutions.
Manage project timelines, technical risks, and team deliverables.
Generative AI & Prompt Engineering Integrate and optimize applications using LLM provider APIs (OpenAI, Anthropic, etc.).
Design prompts with advanced techniques (few-shot, chain-of-thought, chaining, context crafting).
Implement safeguards (guardrails, structured output validation, injection protection).
Architecture & Backend Development Build scalable backend services in .NET (C#) and Python, working with SQL and APIs.
Develop and manage RAG pipelines, conversational AI systems, and summarization tools.
Drive observability: tracing, logging, monitoring for LLM-powered systems.
Evaluation & Optimization Benchmark and evaluate LLMs using custom datasets and automated testing.
Oversee system reliability, performance tuning, caching, and optimization.
Ensure solutions meet enterprise-grade standards for security and scalability.

We are looking for a highly skilled AI Engineer to join an advanced R&D environment within the security sector.
Responsibilities:
Develop advanced Python-based systems and integrate a variety of AI models into software solutions.
Implement and deploy AI models in On-Premise environments, including full integration within existing systems.
Work closely with a multidisciplinary team in a dynamic, innovative technological environment.

We are seeking an experienced ASIC AI/ML Engineer with deep expertise in AI/ML infrastructure and application development specifically for semiconductor design verification disciplines. The ideal candidate will have a proven track record of delivering end-to-end AI solutions from concept to large-scale production deployment.
In this role, you will collaborate directly with architects, designers, verification engineers, software teams, and backend specialists to define best practices and deploy production-ready AI-driven workflows and applications. Your focus will be on implementing LLM, GenAI, and classical ML solutions that transform our ASIC design verification processes and accelerate our path to tape-out.
Key job responsibilities
Develop and maintain scalable AI/ML infrastructure for ASIC design and verification teams
Architect, develop, and deploy production-ready AI/ML applications for semiconductor design workflows
Design and implement GenAI solutions including LLMs and agentic AI systems for verification processes Invent innovative AI-driven solutions to eliminate identified inefficiencies in design and verification flows
Establish best practices and standards for AI/ML application development in semiconductor environments
Create monitoring and observability frameworks for AI model performance in production design environments
Collaborate cross-functionally with architects, designers, verification engineers, and software teams
Research and evaluate emerging AI technologies for applicability to semiconductor design challenges.

We are looking for a Head of CX - AI, Automation, and Tools to join our team.
The Head of CX - AI, Automation, and Tools role is a unique opportunity to join a highly motivated, customer-centric team striving for excellence. We are shifting gears to an AI-first approach in a super-fast-paced environment. Our goal is to make the customer experience a competitive advantage in the hospitality industry by ensuring our processes are not just defined, but supercharged by intelligent automation.
You will be a hands-on leader-architecting flows in n8n/Make, leading a small group of elite talent, and owning a significant share of the day-to-day operations of our CX.
Responsibilities
AI & Automation Architecture (Hands-on)
Build and Deploy AI Solutions: Take a hands-on role in designing, building, and deploying AI-based automations to revolutionize how we support customers and reduce manual work.
Workflow Engineering: Utilize n8n or Make to architect complex, robust workflows that integrate various CX tools.
Client Facing chatbot - defining the priorities roadmap and requirements for our home grown client facing chatbot - built on AWS AgentCore, Langchain and utilizing multiple AI models.
CX AI Agents management and orchestration - building, deploying and monitoring multiple AI agents that cover all areas of the CX operations including data analysis, knowledge, training, support , quality and more.
Tool Administration: Administration and configuration of all CX tools, including finding or replacing tools as needed to keep our stack cutting-edge.
Leadership & Strategy
Talent Management: Manage a small team of highly talented individuals, fostering a culture of innovation and speed.
Process Ownership: Ownership of existing processes in the CX team and defining new processes as needed to support KPIs.
Cross-Department Interface: Define and manage the interface and processes CX has with other departments (BI, CS, Product, OB) and between the various CX teams.
Data & Tools
Data-Driven Improvement: Oversee the CX KPI reporting and work with the BI team to continuously improve our data and dashboards.
Tech Stack: Oversee the CX tech stack (Zendesk, Tymeshift, Airtable and various internally built tools) , continuously introducing new tools and approaches.

we are the global leader in live IP-video solutions, transforming live video into greater value. We are seeking a results-oriented AI Enabler to lead our company's AI adoption journey. In this role, you will be the bridge between cutting-edge AI innovation capabilities and our business goals, driving the operationalization of AI across the organization, from PoC to production while ensuring maximum business value and maintaining our competitive edge. Responsibilities
* Lead end-to-end AI initiatives, from identifying business needs and selecting solutions to implementation, adoption, and impact measurement.
* Act as the bridge between business units and technology, translating business requirements into scalable AI solutions.
* Identify, prioritize, and manage AI use cases across departments based on value and feasibility.
* Define and track KPIs and ROI for deployed AI solutions.
* Drive AI literacy through training sessions and hands-on guidance.
* Partner with IT, Security, and Legal to evaluate and approve AI tools, ensuring compliance with data privacy, GDPR, and security standards.
* Stay up to date with the AI ecosystem and engage with relevant vendors and partners.

we are seeking for an AI Engineer! Key Responsibilities: Prompt Engineering & Optimization: Design, write, and optimize complex prompts ( system Prompts, Chain-of-Thought) to maximize performance across various LLMs. AI Agents Development: Build intelligent agents capable of executing multi-step actions, decision-making, and interaction with external systems. RAG Systems: Design, implement, and maintain Retrieval Augmented Generation (RAG) architectures connecting models to organizational knowledge. Python Development: Develop high-quality Python code, work with LangChain / LlamaIndex, and integrate AI solutions into company products. Research & Evaluation: Explore new AI tools, evaluate model performance, and continuously improve AI outputs.

What We Are Looking For As a VP of AI Security Research you will lead, scale, and inspire multi-disciplinary teams focused on red teaming, sandboxing, adversarial testing, developing red-teaming engines, and guardrail protections for GenAI models and agentic AI systems. In this high-profile role, you will work closely with security research, product, engineering, and compliance teams to shape and deliver the next generation of AI cybersecurity solutions, while combining strategic vision with execution to effectively safeguard LLMs and agentic AI deployments at scale. Key Responsibilities
* Building and scaling global AI security teams, while providing mentorship to senior managers and fostering an innovation-driven security culture.
* Overseeing advanced adversarial evaluations for GenAI models, agentic AI, and multi-agent (A2A) systems, and delivering executive-level threat intelligence and risk assessments to inform corporate AI strategy.
* Defining and implementing AI red-teaming frameworks aligned with OWASP AI Security guidelines, MITRE ATLAS, and NIST AI RMF, and operationalizing automated red-team engines to continuously stress-test models at scale.
* Partnering with product and engineering to design and deploy enterprise-ready AI guardrails, including policy enforcement layers, monitoring pipelines, and anomaly detection systems – and championing secure deployment practices for GenAI (including agent orchestration via MCP and A2A workflows).

About Alice:
Alice is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, Alice empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, Alice enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

Hybrid:
Yes

DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. Join Our Team as a Employee Productivity & GenAI Expert at DRS RADA Technologies! Lead how we use Microsoft 365, Azure and GenAI (assistants, copilots, agents, coding assistants like Tabnine, and automations) to improve employee productivity across the company. Key Responsibilities
* Own the GenAI & productivity strategy in a Microsoft-based environment (Azure, M365, Teams, Copilots).
* Identify and deliver high-impact use cases and automations across business functions.
* Implement and manage GenAI assistants, copilots, agents and coding assistants
* Drive adoption, training and best practices for employees and managers.
* Track usage and impact KPIs and continuously improve tools and workflows.

Alice is a leading platform for Trust & Safety teams worldwide, leveraging cutting?edge AI and world?class expertise to protect users from the widest spectrum of online harms. By continuously collecting and analyzing data, our solutions ensure customers stay two steps ahead of bad actors in an ever?changing threat landscape. We’re seeking an outstanding Backend Engineer with a Generative AI orientation to join our research team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities. This platform will handle GenAI models deployment, prompt management, data filtering, logging, and monitoring, centrally, so individuals can focus on their own business-specific logic. Key Responsibilities
* Build and maintain CI/CD pipelines that support fast, reliable integration and deployment of GenAI systems across complex environments, including orchestrating multiple models/agents and MCP clients/servers.
* Develop, deploy and integrate AI solutions and agentic frameworks, creating both command?line tools and interactive notebooks that support our team’s research and workflow automation needs.
* Build and manage data pipelines and databases (SQL) for large?scale data handling, automating data collection and curation (e.g., adversarial prompts for model red-teaming) to support AI training and evaluation.
* Integrate research into production by implementing the latest generative AI advancements (including white?box LLM development), integrating different models and agents, and developing evaluation frameworks (e.g., agentic reasoning tests) as part of our automated workflows.
* Deploy GenAI models from repositories such as HuggingFace onto our AWS platform, connect them to data pipelines, and automate end?to?end processes for prompt generation, labeling, and response evaluation.

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.