לוח משרות דרושים הייטק AI , לחיפוש זה נמצאו 314 משרות

We're looking for an experienced Senior Product Manager who is excited about building category-defining AI products, working directly with enterprise customers, and shaping the future of agentic experiences.

We work primarily remotely, with one collaborative team day from our Tel Aviv office.

About the Role
You'll co-lead ExpertX, our company AI agent platform. ExpertX deploys AI agents into client organizations to answer questions, train, and coach employees which means success isn't defined by shipping features. It's defined by customer adoption, measurable business KPIs, and expanding from initial use cases into broad organizational deployments.

This is a high-ownership role in a fast-moving startup. You'll shape product strategy, drive execution, partner closely with Engineering, and work directly with enterprise customers often all within the same week.

What You'll Do

Co-lead ExpertX end-to-end from product vision and roadmap through delivery and measurable customer impact.
Own the product lifecycle from customer discovery and prioritization to requirements, launch, and continuous optimization.
Translate customer insights into scalable product opportunities by partnering closely with Sales and Customer Success.
Partner with Engineering to define product strategy, prioritize initiatives, and deliver high-impact AI capabilities.
Shape the agent experience, including trust, guardrails, human-in-the-loop workflows, and graceful handling of AI uncertainty.
Design persona-specific product experiences for Builders, Admins, Managers, and End Users.
Define how AI agents are created and maintained, including knowledge architecture, prompting standards, and quality assurance.
Support customer growth by partnering with Sales and Customer Success on adoption, QBRs, governance discussions, and expansion opportunities.
Present product strategy and roadmap to senior customer stakeholders.
Thrive in a fast-paced startup environment by making thoughtful trade-offs, moving quickly, and adapting as priorities evolve.

Were currently seeking a Senior Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible performance on pioneering computer hardware? Could you be thrilled about an opportunity to partner with the developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like us? If so, the Developer Technology Team invites you to consider this role.

What you will be doing:

In this position, you will research and develop techniques to GPU accelerate workloads in deep learning, machine learning or other AI domains.

Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms to ensure optimal AI solutions on modern CPU and GPU architectures.

Publish and/or present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the developer community.

Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools for our teams.

Were looking for a hands-on AI Engineer to build and own the agentic workflows at the heart of our security intelligence engine.
This is a backend-focused engineering role: youll design, build, and maintain the autonomous systems that execute security workflows end-to-end - taking capabilities from research prototype to scalable, production-grade infrastructure.
Youll be working at the edge of applied AI, turning LLMs and agentic frameworks into reliable, observable systems that operate in real customer environments.
What Youll Build:
Agentic Workflows (Core Focus): Design and maintain the orchestration backbone for multi-step, autonomous agents that investigate, reason about, and act on complex security operations.
Internal AI Infrastructure: Contribute to a shared platform for models, data pipelines, training, evaluation, and observability that the whole AI team builds on.
Responsibilities:
Build and maintain the agentic workflow engine - orchestration, tool use, state management, retries, and evaluation - that powers our AI-driven security features.
Develop the backend services and APIs that deploy AI capabilities safely and at scale.
Collaborate with AI Researchers to translate findings into production-grade autonomous workflows.
Own reliability, observability, and performance of the agentic systems in production.

Were looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.
This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features-from data pipelines and LLM orchestration to intuitive UI experiences-with a strong product mindset.
Responsibilities:
AI Agent Design & Integration:
Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).
Fullstack Product Development:
Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces.
Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance.
Collaborate closely with design, product, and data teams to bring ideas from concept to production.
Systems & Infrastructure:
Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
Ensure systems are secure, reliable, and compliant with InfoSec standards.
Experimentation & Continuous Improvement:
Rapidly prototype and iterate on new AI capabilities and user experiences.
Analyze performance and usage metrics to drive product and model improvements.
Stay up to date with the evolving AI toolchain and emerging agent architectures.

Were looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.
This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features-from data pipelines and LLM orchestration to intuitive UI experiences-with a strong product mindset.
Responsibilities:
AI Agent Design & Integration:
Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).
Fullstack Product Development:
Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces.
Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance.
Collaborate closely with design, product, and data teams to bring ideas from concept to production.
Systems & Infrastructure:
Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
Ensure systems are secure, reliable, and compliant with InfoSec standards.
Experimentation & Continuous Improvement:
Rapidly prototype and iterate on new AI capabilities and user experiences.
Analyze performance and usage metrics to drive product and model improvements.
Stay up to date with the evolving AI toolchain and emerging agent architectures.

We're looking for a senior AI Engineer with a strong backend background and deep experience building agentic AI systems to join our growing team.
Responsibilities:
Own the development of end-to-end AI agents, including both customer-facing agents and deep background agents. This includes designing agent architectures, building and maintaining agent tools, constructing and iterating on prompts, and continuously evaluating, operating, and improving the agent infrastructure in production.
Integrate large language models (LLMs) into production environments to enable autonomous task handling and decision-making.
Collaborate closely with engineering, product, and security teams to turn ambiguous problems and AI research into reliable, production-grade capabilities.

This role is ideal for experienced backend engineers (ideally with strong Python skills) looking to transition into program leadership.You must thrive in a fast-paced environment and bring a proven track record of designing, building, and operating AI agents or agentic workflows.
We are at a pivotal point in our journey, transforming how we deliver product integrations-the core of our platform-by shifting from manual engineering to AI-first workflows powered by agents and agentic pipelines.
As a Senior Technical Program Manager, you will lead this transformation. You will collaborate closely with Customers, Partners, Product, and Engineering to scope and design integrations with IT and security tools. Simultaneously, you will redefine the entire integration lifecycle-using AI to automate how customer requests are analyzed, connector designs are created, and software is delivered from early access through full launch.
Your Impact
Lead AI Workflow Transformation: Drive the evolution of key business and engineering workflows from manual execution to AI-first, agent-driven processes.
Design & Scale Agentic Pipelines: Build, deploy, and continuously optimize multi-agent workflows that automate the lifecycle of integration requests-from intake and API requirement analysis to automated design generation, code reviews, and validation.
Drive Technical Integration Scoping: Work closely with Customers, External Partners, Business Development, Product, and Security Architects to scope use cases and create technical design requirements for third-party IT and security integrations.
Enhance Engineering Productivity: Improve developer throughput and software quality by integrating AI-powered tools (e.g., GitHub Copilot, OpenAI APIs) and agentic knowledge systems into the daily engineering lifecycle.
End-to-End Program Ownership: Support cross-functional teams throughout the full software development lifecycle of integrations, establishing scalable operational engineering processes to transition projects seamlessly from early access through full launch.
Cross-Functional Alignment: Partner with cross-functional peers to align solutions, resolve conflicts, clear operational bottlenecks, and drive complex technical issues to resolution.

We are looking for a software engineer with strong backend skills, a product mindset, and the curiosity to bring LLM-powered agents into the toolchains and Linux environments where chips are actually designed. Success in this role means owning the agentic infrastructure end-to-end: from the platform our agents run on, to the integrations that let them safely act inside our customers' existing flows.
Description
You will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:

* Architect, build, and operate the agentic infrastructure our team relies on:including LLM orchestration, tool-calling layers, multi-agent workflows, and the services that host them.
* Design and implement software solutions for chip design engineers, translating their workflows into reliable, automated agent-driven systems.
* Integrate our agents and services with existing Linux-based environments, in-house tools developed by the team, and third-party EDA tools.
* Manage agentic and ML workflows in production to ensure performance, high availability, and resource efficiency.
* Deploy and maintain production services, with proactive monitoring to catch quality and infrastructure regressions before they reach users.
* Build automated evaluation frameworks to measure retrieval quality, agent execution, and LLM output accuracy across releases.
* Partner with CAD teams to integrate pipelines and agents into CI/CD, ensuring reliable deployments and safe rollbacks.
* Implement access controls, authentication, and secret-handling practices appropriate for working with sensitive design data.
* Collaborate closely with ML engineers, researchers, and our customer teams.

We are looking for an AI Tech Lead to join our M&T engineering organization - the team behind a live, high-availability TV platform serving telecom and media companies worldwide at 99.995% SLA on AWS.
Were not looking for someone who talks about AI strategy. Were looking for someone who picks up a real problem, finds where AI creates a step-change, and makes it happen.
This is an individual contributor role reporting directly to the VP R&D. Youll be embedded in M&T but will work closely with engineering teams across our R&D - contributing your AI expertise to shared initiatives, building collaborative relationships, and helping move technical work forward together.
If youre the kind of engineer who gets restless when theres a better way and no one is building it yet - this role is for you.
The day-to-day:
Lead AI-driven initiatives across M&T engineering - from scoping and architecture through hands-on execution
Drive adoption of AI tooling and practices across Dev and DevOps teams, both within M&T and cross-org
Identify opportunities where AI can improve engineering velocity, incident response, cost efficiency, and system reliability. Work across teams and departments - align stakeholders, unblock dependencies, and keep initiatives moving
Collaborate with group managers and engineers to translate AI capabilities into practical, production-grade solutions
Stay ahead of the curve: evaluate emerging AI tools, frameworks, and approaches and bring the relevant ones in
The perks:
Hybrid, flexible work environment
Extended private health (including mental) insurance
Personal and professional development programs
Occasional Cross company long weekends.

Required Senior AI Research Engineer
What Senior AI Research Engineers do:
Senior AI Research Engineers develop algorithmic solutions that power new innovative features and continuously improve existing ones, with a strong emphasis on training AI / ML models as a core part of the role. The work spans a wide range of domains - from training generative AI and LLM-based models to create musical content at scale, through building deep learning computer vision models that enhance user drawings, to developing real-time audio ML models for music transcription that elevate feedback.
You will take full end-to-end ownership of cutting-edge algorithms and AI models - leading the process from ideation and research, through development, to production-grade implementation and engineering within our products. This includes not only designing and building AI models, but also ensuring robust, efficient, and scalable integration into the app - directly shaping the experience of millions of users.

As the Director of AI Enablement, you will be a key executive leader, visionary, and the driving force behind the adoption and integration of cutting-edge AI technologies across Skai. Your mission is to head an engineering and innovation group that keeps the company at the absolute forefront of the AI revolution, systematically leveraging GenAI, automation, and agentic workflows to radically accelerate our organizational velocity and capabilities.

We are looking for an experienced group manager, someone with an entrepreneurial spirit, a bold vision, and the executive leadership skills to drive AI-stack change. Leading a talented group of engineering specialists, you will act as our chief scout and architect for internal AI innovation. You will evaluate emerging AI tools in the market, discover what truly works, listen closely to our employees' workflows, and lead the end-to-end implementation of AI solutions that redefine how Skai operates.

As part of your work you will be responsible for:

Group Leadership & People Management: Direct, mentor, and scale a high-performing group (including pod leads and specialists), fostering innovation and execution excellence.
Drive Skais AI Strategy & Vision: Define the high-level roadmap to embed GenAI and advanced AI tooling into our day-to-day operations and ecosystems.
Entrepreneurial Project Execution: Act as a "builder" - conceptualizing raw ideas into concrete AI projects and pushing them from fast PoCs to full operational deployment. Continuously research global AI tools and autonomous agent frameworks.
Listen to Our Teams & Identify Needs: Partner with internal teams to understand workflows and bottlenecks, turning feedback into actionable AI initiatives that boost efficiency.
Cross-Functional & Matrix Leadership: Drive AI adoption and cultural transformation by building alignment across R&D, Product, Operations, and Business units.

We are seeking a talented engineer to work on our AI software stack-specifically, the low-level optimization of AI models and kernels for our unique hardware architecture.

Responsibilities
Develop our optimized AI libraries and related components in the SW stack.
Drive the performance optimization of AI models running on our unique architecture.