לוח משרות דרושים הייטק AI , לחיפוש זה נמצאו 302 משרות

Required AI Implementer
About the team:
The IT AI team is responsible for rolling out enterprise AI tools for development and productivity across; including AI coding assistants, enterprise copilots and agents. The team builds and runs AI solutions that turn business needs into practical, secure and reliable tools.
We're looking for a hands-on AI Implementer to take AI use cases from idea to production. You'll work with business and IT stakeholders to find automation opportunities. You'll then build agents, MCP integrations and workflows, and make sure they run securely and reliably and are actually used.
What will your job look like:
Lead the company-wide rollout of development and productivity tools (e.g., AI coding assistants, enterprise copilots, chat and agent platforms): evaluation, deployment, licensing, access provisioning, onboarding and adoption across all departments.
Design, build and deploy AI agents, assistants and automations for IT and the different business units.
Develop and maintain MCP server integrations (e.g., Jira, Confluence, SharePoint, Jenkins, Microsoft 365) and onboard new tools to the MCP gateway.
Extend the corporate chatbot with new self-service automations and knowledge sources.
Connect AI solutions to enterprise systems (ITSM/Jira, ServiceNow-style workflows, SaaS apps, AD/Entra ID, REST APIs).
Track and report AI usage, cost and KPIs, such as ticket deflection and automation runs.
Apply security and governance: authentication (OAuth/tokens), least-privilege access, data protection, and audit/SOX requirements.
Run enablement work: documentation, user guides, live sessions/workshops, and Tier-3 support for AI tools.
Evaluate new AI technologies and vendors, and build PoCs.

Required AI Algorithm Engineer - Vision Localization Group
About the team:
Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments.
The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving.
What will your job look like:
Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.
Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
Combine learning-based methods with classical optimization and geometric algorithms.
Own the entire lifecycle from prototyping to deployment.
Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions.
Drive innovative solutions for high-precision localization at production scale.

As a Principal AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling our companys product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

We are looking for a Software Engineering Manager to lead and mentor the team building the centralized multi-agent platform for Idira core services. In this role, you will combine hands-on technical leadership with rigorous execution to ensure the high-quality delivery of a scalable, robust AI platform. You will drive development processes, maintain clear alignment with stakeholders, and support the team through the full lifecycle of complex agent development-from architectural design to customer-facing production deployment and continuous optimization.
Responsibilities
Lead, mentor, and grow the engineering team responsible for Idiras centralized multi-agent platform; foster a collaborative, high-performance environment.
Own team execution: drive sprint planning, prioritize roadmaps, manage delivery commitments, and ensure reliable production support.
Oversee the end-to-end development of the multi-agent ecosystem: system architecture, implementation, seamless integration, deployment, and monitoring.
Maintain a clear capability matrix and roadmap for the core platform, managing dependencies across multiple autonomous agents and API integrations.
Communicate progress, risks, and status updates clearly to product, executive management, and cross-functional stakeholders.
Provide hands-on technical leadership: conduct code reviews, guide scalable architectural decisions, and uphold stringent engineering best practices for production-grade AI.

We're looking for an
AI Engineering Lead
to help drive the quality, intelligence, and continuous improvement of AI and agentic systems.
This is a
hands-on AI engineering lead role focused on data, evaluation, and agentic workflows.
You'll build the systems and methodologies that allow us to understand how our agents perform, identify where they fail, and continuously improve their reasoning, tool usage, and outcomes.
You'll work closely with AI Researchers, Engineers, and Product teams to turn experiments into reliable, high-performing AI systems - from defining evaluation datasets and metrics to improving agentic workflows and deploying them at scale.

Required Algorithm Researcher - Autonomous Driving (CTO Group)
About the team:
The CTO Group is a small, elite team focused on the decision-making module of our autonomous driving system.
Our mission is to solve some of the hardest problems in autonomous driving by combining the full spectrum of modern computer science - from rigorous mathematical modeling, optimization, and algorithm design to deep learning.
The team develops the driving policies that translate system-wide inputs into safe, efficient, and human-like driving behavior. Our work spans classical algorithms, optimization under constraints, probabilistic reasoning, reinforcement & supervised learning, all grounded in real-world driving data.
The group is comprised of top researchers and developers and is led by world-class scientists, offering a unique opportunity to work closely with the CTO, shape the future of autonomous driving, and influence the company's technical direction.
What will your job look like:
Research and develop innovative algorithms for autonomous driving planning and decision-making.
Model complex real-world driving scenarios and formulate them as optimization, learning, or algorithmic problems.
Apply a broad range of techniques - from mathematical modeling and classical algorithms to machine learning and deep learning - to improve driving policies.
Analyze large-scale driving data to gain insights, validate hypotheses, and improve system robustness and performance.
Design and implement high-quality production-ready code in a research-driven environment.
Read, evaluate, and build upon state-of-the-art scientific literature in algorithms, AI, and machine learning.

Required AI Algorithm Engineer - Vision Localization Group
About the team:
Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments.
The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving.
What will your job look like:
Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.
Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
Combine learning-based methods with classical optimization and geometric algorithms.
Own the entire lifecycle from prototyping to deployment.
Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions.
Drive innovative solutions for high-precision localization at production scale.

a global technology organization developing shared platform services and enterprise applications, with a strong focus on reliability, security, and scalability, is looking for a hands-on senior software engineer with a strong focus on ai-powered development, intelligent agents, and process automation. the role combines Full-Stack engineering with building smart tools and automated workflows using technologies such as claude code, helping improve engineering productivity, streamline processes, and reduce manual work.
responsibilities:
use claude code and other ai-powered tools to accelerate coding, testing, debugging, and documentation.
build intelligent agents, internal tools, and automations to optimize workflows and reduce repetitive tasks.
identify opportunities to leverage ai to improve engineering efficiency and operational processes.
develop frontend applications using React, JavaScript, and typescript.
build backend services and rest apis using C # and.net core.
develop automated tests and end-to-end validation workflows.
automate the validation of integrations and high-volume data operations.
integrate ai-driven solutions into existing development workflows and platform services.
collaborate with a globally distributed engineering team to deliver reliable, scalable solutions.

about the job
we're the company.
we're building the future of product security. our mission is to enable both humans and ai to build secure-by-design software, at scale, without slowing innovation.
we're backed by $36m from team8, notable capital, and svci, and trusted by multiple fortune 500 companies.
but funding and logos don't define us. people do.
our about us page offers a real look at our culture, our values, and the people behind the product.
this is where you come in.
we're hiring an ai researcher to join our research team.
you'll get inside the "minds" of ai security agents: how they reason about code and use context. it's research meets applied ai: cutting-edge tech, fast iterations, and real customers relying on what you build to secure their software.
if your first reaction to "the model works" is "on what eval?", you get excited when an experiment disproves your hypothesis, and you can ship a poc at the speed of light - you might be our person.
what you'll do
research
form hypotheses about agent behavior, design experiments, and iterate fast.
build research harnesses and dive deep into traces and failure modes.
publish original research and present it at industry conferences.
applied ai
own ai projects from poc to production, serving real customers at scale.
design the algorithms, pipelines, and evaluations behind the company's ai infrastructure, including memory and context.
keep our engine on the bleeding edge by monitoring new models and research.

join us, a cybersecurity startup building the next generation of vulnerability management and exposure management.
were looking for a senior ai researcher (cybersecurity) to join our founding team and build ai-powered product capabilities that enable unprecedented effectiveness in vulnerability and asset management.
in this role, youll work hands-on with large-scale security data (assets, vulnerabilities, exposure context) and design production-grade ai systems that turn messy, complex information into clear, actionable insights.
own the end-to-end ai lifecycle: from feature ideation and initial research, through data exploration and model development, to delivering reliable, production-grade capabilities. validate solutions in controlled testing and continuously monitor, evaluate, and improve performance in production.
if you love combining real security problems with applied data science and ai-driven problem solving, and want to have real impact in a rapidly evolving product, wed love to meet you.
#li-dnp.

the company harnesses the power of ai to transform how revenue teams win. the company revenue ai operating system unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the worlds most successful revenue teams. powered by the company revenue graph, ai-powered intelligence, specialized agents, and trusted applications, the company helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. for more information, visit company.
at the company, you will join a company built on innovative products, ambitious goals, and passionate people. we are shaping the future of revenue intelligence and we want people who are excited to build what comes next. you will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. if you want to grow, stretch, and do work that truly matters, the company is the place to do the best work of your career.
as a prompt engineer, you will play a critical role in shaping the behavior and capabilities of the company's ai. you will move beyond basic prompt design to architect advanced, multi-agent systems, collaborating closely with product teams, data scientists, and engineers to understand user needs and translate them into effective, scalable ai workflows.
you'll own
advanced prompt engineering: design and develop highly optimized prompts for a wide range of applications, including text generation, question answering, rating, sentiment analysis, and summarization.
performance analysis & iteration: continuously analyze and iterate on prompts and agent behaviors based on performance metrics, evaluation frameworks, and user feedback to ensure high-quality, reliable outputs.
experimentation & research: conduct systematic experiments to TEST new prompting techniques, benchmark agentic workflows, and integrate updates based on the latest advancements in NLP and generative ai.
technical documentation: create clear, concise, and structured documentation of prompt architectures, system behaviors, and testing methodologies, effectively communicating your work to both technical and non-technical audiences.
you'll solve
building intelligent agent experiences: solving complex challenges around llm reasoning and agent logic to enable the company ai to answer complex questions and deliver accurate, context-aware assistance.
translating user needs into ai workflows: bridging the gap between user requirements and technical execution by designing prompts and agent architectures that directly improve the end- User Experience.
optimizing reliability at scale: reducing hallucinations, improving output consistency, and ensuring that agentic systems perform reliably across millions of dynamic customer interactions.
staying ahead of the curve: continuously adapting internal systems to leverage the rapidly evolving landscape of llms and ai research.
you'll impact
global sales transformation: the agents and prompts you build will directly empower thousands of companies, changing how they interact with customers and automate critical workflows.
the future of agentic ai: you will help shape how the company ai assistant navigates human dynamics, helping agents interpret complex intents and execute autonomous tasks effectively.
product excellence: your rigorous testing, prompt optimization, and architectural designs will be the driving force behind the quality and intelligence of the company's core ai features.