לוח משרות דרושים AI Engineer בשרון

We are looking for an AI & Automation Engineer to design, build, and enable enterprise AI infrastructure and automation solutions.
This role focuses on AI architecture, workflow automation across IT and business applications, and monitoring, governance, and cost management of AI tools and agents.
You will work at the intersection of AI platforms, IT operations, and business automation, enabling scalable, secure, and cost-effective AI adoption across the organization.
Responsibilities:
Select and integrate AI tools, frameworks, and platforms aligned with enterprise IT standards.
Ensure scalability, security, reliability, and compliance of AI infrastructure.
Enable AI solutions from concept to production, including:
AI-powered IT tools
AI agents and copilots
AI services integrated into business applications
Collaborate with IT, DevOps, Security, and Business teams to deploy AI solutions smoothly.
Build reusable AI enablement patterns, templates, and best practices.
Automation of Workflows
Design and implement automation of IT and business workflows using AI and orchestration tools.
Integrate AI agents into:
IT operations (ITSM, monitoring, incident response)
Business applications and internal systems
Improve efficiency, reliability, and user experience through intelligent automation.
AI Monitoring, Usage & Financial Governance
Define and implement monitoring for AI systems, including:
Usage tracking
Performance and reliability
Model and agent behavior
Track and analyze financial usage and cost of AI tools, APIs, and platforms.
Establish governance frameworks for responsible and controlled AI usage.

We are looking for an experienced and dynamic Team Lead to manage a talented group of frontend & backend engineers, qa testers and devops. In this role, you will oversee the design , development and delivery of versions of our software to our biggest customer, ensuring that it meets the highest standards of quality and efficiency.
Additionally, you will collaborate closely with stakeholders in the customer team and within the organization, requiring strong communication and leadership skills.
Key Responsibilities:
Lead, mentor, and manage a hybrid team (Onshore & Offshore) of 10 engineers (frontend, backend, quality, devops), fostering a collaborative and high-performance culture.
Oversee our AI-first transformation in your team- moving all coders to do 100% vibe coding
Collaborate with product owners, QA, DevOps, and other team members to deliver high-quality software solutions within an Agile framework.
Ensure the teams not only develop features but also write comprehensive automation tests to validate and cover their work, ensuring high quality and stability.
Ensure designs and implementations align with technical specifications, industry standards, and best practices.
Promote continuous improvement by exploring and adopting new technologies and methodologies.
Provide support for customer and delivery teams in successfully implementing projects based on the platform.
Contribute to all phases of the development lifecycle, from design through deployment to maintenance.
Write well-structured, testable, and efficient code when needed.

Full-Stack Developer & AI Solutions Lead Ideas builds complex e-commerce platforms, applications, and system integrations that power real businesses. Were Shopify experts, application developers, and integration specialists in third-party system integrations. We love connecting systems almost as much as we love connecting with our clients. For nearly two decades, weve been solving technical challenges at scale - and were constantly evolving how we build.
Were looking for a senior Full-Stack Developer who lives and breathes AI-powered solutions as part of their professional craft - someone who sees it as part of how they work, not just an occasional tool or feature. Someone who uses AI as part of how they think, architect, prototype, optimize, and ship software - and knows how to turn AI capabilities into real, scalable production systems. Building exceptional systems is the job - AI is part of how you do it better. If you're all about taking ownership of high-impact technical projects and help shape development standards within a sharp, energetic team - this opportunity at our  company comight be the perfect fit.
What Youll Do
* Lead development of complex web and e-commerce systems and digital platforms ( frontend and backend )
* Design scalable backend architecture, APIs, and integrations - Turn complex designs into fully functional, scalable Shopify and Craft CMS solutions
* deeply familiar with AI tools and uses them as part of your everyday workflow - from coding and refactoring to automation and solution design
* Identify practical opportunities to implement AI features in a way thats stable, secure, and scalable
* Turn product and design requirements into clean, production-ready code
* Write clean, high-quality code that performs well and scales smoothly
* Set up and maintain smart testing, CI/CD, and deployment processes
* Work closely with Project Managers, Customer Success, Webmasters, leadership and other developers to keep projects moving forward
* Mentor and support team members and contribute to improving development practices
* Look for better, smarter ways to do things - whether thats improving code structure, tools, or overall architecture

We are seeking an experienced, hands-on Senior AI Engineer to join the Generative AI applications Platform group and lead the backend implementation and architecture of AI/LLM solutions - from agent graphs and tooling to RAG, streaming, and production deployment.
As a Senior ML Engineer you will
Design and own agent architectures - Build and evolve graph-based agent workflows (multi-node LLM flows, tool execution, routing, human-in-the-loop review gates) using LangGraph, with clear state schemas, checkpointing, and streaming to production.
Turn product and user needs into backend AI - Work with Engineers, Product, and Analysts to translate business problems into technical requirements and implementations, including agent types, tools, RAG pipelines, and configuration-driven behavior.
Design, develop, and deploy GenAI capabilities end-to-end - LangChain tools and integrations, RAG (retrievers, vector stores, agentic flows), structured outputs, and APIs for chat, Copilot-style integrations, and MCP.
Raise the bar on quality and reliability - Establish patterns for observability (e.g., LangSmith), error handling, content safety, bounded autonomy (tool schemas, review workflows), and evaluation systems so that AI behavior is predictable and auditable.
Mentor and align the team - Provide technical guidance on LLM backend architecture and LangGraph/LangChain best practices so the team can iterate quickly and safely.

Join CIO Architect team and shape the future of AI! We're seeking a hands-on AI Solutions Lead to lead the development and implementation of enterprise-wide AI applications. In this pivotal role, you'll evaluate and deliver cutting-edge AI solutions to employees and teams across the organization. You'll spearhead AI solution projects from initial concept and requirements gathering through execution and widespread adoption, serving as the central point of contact between business, IT, and Data teams. You'll also stay at the forefront of the latest AI technologies.
As an AI Solutions specialist (CIO Group) you will
Collaborate with cross-functional teams to diagnose challenges and opportunities where GenAI and AI Agent can provide real, measurable value.
Lead the lifecycle of GenAI-driven applications and Autonomous Agents, transitioning rapidly from initial concept and technical feasibility to full enterprise-grade production roll-outs.
Conduct technical audits of emerging AI technologies, leading "Build vs. Buy" analyses to ensure global scalability, security, and measurable value to the organization.
Run training and enablement sessions for both technical and non-technical teams, fostering a culture of AI literacy and ensuring the organization can leverage new tools effectively.
Build and evolve the Enterprise AI technology stack, continuously scouting and integrating next-generation platforms, LLM orchestration tools, and agentic frameworks.
Serve as the primary technical liaison between IS, IT, Legal, and Data teams to ensure AI solutions are securely integrated and compliant with enterprise standards.
Own the long-term roadmap and administration of enterprise AI platforms, driving continuous solution adoption, impact measurement, and performance optimization across the organization.

A new type of finance role designed for an AI-driven organization. You will combine strong FP&A fundamentals with curiosity for GenAI tools, modern analytics, and SaaS monetization. Working closely with AI leaders, product teams, and business stakeholders, you will help translate innovation into financial insights while contributing to core financial execution.

What will your job look like?
Support planning, forecasting, and performance analysis for Data & GenAI initiatives
Build financial models for AI solutions, SaaS offerings, and data-driven business cases
Analyze monetization approaches for GenAI-driven capabilities and internal transformation programs
Design and track KPIs measuring efficiency, productivity, and value from AI adoption
Partner closely with product, engineering, and AI leaders to translate roadmaps into financial narratives
Use GenAI and analytics tools to streamline reporting and improve decision-making workflows
Maintain ownership of core FP&A deliverables while supporting strategic decision-making

In this role, you will be a key contributor to the design and implementation of AI Graph Compiler software stack for Neural Processing Units (NPUs). You will take part in defining software architecture, implementing performance-critical components, and enabling efficient execution of advanced neural networks under tight power, memory, and latency constraints.

You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of NPU embedded solutions, actively promoting AI capabilities to the customers.

What will you do:

Own and design key components of the AI Graph Compiler software stack for NPU-based systems.

Optimize inference performance (latency, throughput, memory footprint, power) for edge deployments.

Collaborate on HW-SW co-design, influencing NPU architecture.

Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies.

Mentor junior engineers and contribute to technical best practices.

The AI Graph Compiler Engineer will design and develop next-generation graph compiler technologies enabling efficient execution of advanced AI models on Neural Processing Units (NPUs) used in edge and embedded AI devices. In this role, you will work at the intersection of AI frameworks, graph optimization, and hardware acceleration, enabling efficient execution of neural networks on cutting-edge AI hardware.

You will work at the intersection of AI frameworks, compiler infrastructure, and hardware acceleration, helping translate high-level AI models into highly optimized executions on NPUs.



What will you do:

Develop and enhance AI graph compiler components targeting NPU architectures. Implement graph-level optimizations such as operator fusion, scheduling, memory planning, and layout transformations. Participate in lowering models from AI frameworks (e.g., PyTorch, ONNX, TensorFlow) into NPU-optimized representations. Contribute to compiler passes focused on performance, memory efficiency, and numerical correctness. Collaborate closely with hardware, runtime, and AI framework teams to achieve optimal end-to-end performance. Analyze performance bottlenecks and assist in compiler-based optimizations. Debug and resolve issues across compiler, runtime, and hardware layers. Support testing, validation, and documentation of compiler features.

Lead and mentor a team of software engineers developing Sensing AI SDK. Architect and implement high-performance sensing SW components for AI, vision, Audio and voice optimized for vectorize SIMD execution. Collaborate with compiler and DevOps teams to ensure efficient development and deployment. Drive technical excellence through code reviews, design discussions, and continuous improvement. Own the SDK roadmap, planning, and delivery cycles. Engage with customers to enable successful pre-sale processes, support integration and gather feedback.

Were hiring an AI Engineer to join a newly formed AI Engineering group dedicated exclusively to RIVO, our flagship SaaS platform transforming global trade finance.
This is a high-impact role in a lean team with a clear mission: deliver AI-powered product capabilities end-to-end, from idea and prototype to production rollout, monitoring, and iteration. Were not experimenting with AI; were building real product features and laying the AI foundation that will power RIVO for years to come.
If youre a backend engineer who has built AI/LLM solutions in production and wants to shape the AI ecosystem inside a global SaaS product - this role is for you.
Location: Kfar Saba, Israel
Reporting to: AI Team Lead
Roles and Responsibilities:
Own AI features end-to-end: translate product problems into AI solutions, prototype quickly, productionize, and continuously improve based on real usage and metrics.
Build and maintain production-grade AI services using Python and/or Node.js, integrated into RIVOs backend architecture.
Develop the AI foundation for RIVO: shared building blocks, standards, templates, APIs, evaluation tooling, guardrails, and observability.
Design and implement prompting strategies, function/tool calling flows, and structured output patterns to achieve reliable results.
Build and optimize RAG pipelines (retrieval, ranking, chunking, context construction) and integrate with vector databases and hybrid retrieval techniques.
Implement evaluation and monitoring: offline testing, automated regression suites, online metrics, cost monitoring, and quality dashboards.
Work closely with Product, Engineering, and Domain Experts to ensure solutions are scalable, secure, and aligned with business value.
Research and adopt the best-fit models and approaches (OpenAI/Anthropic/open-source), including routing, fallback strategies, and cost/performance optimization.
Write clean, scalable, well-tested, and well-documented code.

Were hiring a Senior AI Engineer to join a newly formed AI Engineering group dedicated exclusively to RIVO, our flagship SaaS platform transforming global trade finance.
This is a high-impact role in a lean team with a clear mission: deliver production-grade AI capabilities end-to-end, from shaping the solution and validating it quickly, to production rollout, monitoring, and continuous improvement. We are not experimenting with AI. We are embedding it directly into the product, and building the AI foundation and reusable infrastructure that will power RIVO for years to come.
If you are a senior backend engineer with strong hands-on experience building LLM-based systems in production, and you want to own meaningful AI solutions inside a global SaaS product, this role is for you
Location: Kfar Saba, Israel
Reporting to: AI Team Lead
Roles and Responsibilities
Lead the design, development, and deployment of AI-powered services and product features into production.
Design and build scalable and reliable backend infrastructure to support AI capabilities (APIs, workflows, guardrails, monitoring, cost controls).
Own the lifecycle of AI services end-to-end: discovery, prototyping, evaluation, production rollout, monitoring, iteration, and maintenance.
Contribute to building RIVOs AI foundation by developing reusable building blocks (shared libraries, templates, integration patterns, evaluation utilities).
Apply advanced prompt engineering techniques and LLM orchestration patterns (tool/function calling, structured outputs, routing, fallback strategies) to achieve reliable and predictable behavior.
Implement and optimize retrieval-based systems including embeddings, vector search, and RAG pipelines.
Research, evaluate, and recommend models, tools, and frameworks, balancing quality, latency, cost, and maintainability.
Write high-quality, production-ready code and actively participate in code reviews and architectural discussions.

We are looking for a hands-on GTM Engineer to help make our Go-to-Market engine smarter, more efficient, and more effective. This role focuses on removing manual and administrative work from GTM teams, enabling humans to focus on strategy, creativity, and decision-making while systems handle execution and scale.

The GTM Engineer designs and operates HubSpot-centered GTM architecture and AI-powered automation that improves speed, accuracy, and scalability across Marketing, Sales, and SDR workflows.

What you will do:
Own day-to-day administration, configuration, and optimization of HubSpot across Marketing and Sales use cases.
Design and maintain GTM system architecture, including data models, lifecycle logic, routing, scoring, and automation frameworks.
Build, operate, and continuously improve AI-powered workflows that reduce manual work and increase GTM velocity.
Implement advanced automation using tools such as Clay, AI agents, and workflow orchestration platforms.
Integrate HubSpot with Salesforce and other GTM systems to ensure reliable data flow and process consistency.
Automate enrichment, qualification, routing, outbound support, and handoff processes across the funnel.
Monitor data quality, automation health, and system performance, proactively identifying and resolving issues.
Document system logic, workflows, and automation patterns to ensure maintainability and scalability.
Continuously experiment with new AI and automation approaches and apply them to practical GTM use cases.

Were hiring an AI Engineer for our AI Core team to build and scale AI across our products and workflows, from agentic document understanding to multi-agent systems and ML solutions. This is a hands-on, cross-functional role where youll prototype quickly, build robust evaluations, and ship production-grade AI with measurable business impact.

What youll do:
Build and ship AI/ML solutions using LLMs, agents, retrieval patterns (RAG), and document understanding models, alongside classic ML (classification, ranking, time-series).
Prototype and iterate quickly: turn ideas into high-quality POCs, validate feasibility, and evolve them toward production.
Shape technical direction and evaluate models and approaches using clear benchmarks, metrics, and real-world impact measurement.
Research and apply emerging techniques, e.g., multimodal/document AI, agentic frameworks, synthetic data generation, and architectural approaches.
Partner closely with product, engineering, and domain experts to identify opportunities and deliver end-to-end solutions.
Help shape scalable, secure architecture and best practices for AI delivery.

Location: Herzliya | Hybrid work model.

Lead next generation inference solution optimized for power, performance and area. Considering scalable solution for large scale systems with many resources. Covering efficient data delivery and workload map.

Our team at the Huawei Computing Network Innovation Lab is looking for exceptional talent to join us and lead the development of next generation data centers. We create cutting-edge technologies that synergize software and hardware in tandem to accelerate compute, storage and networking at large-scale. We aim to drive innovations and deliver software defined infrastructure and algorithms to HPC, AI/ML, and Big Data applications.
We are looking for outstanding candidates with hands-on experience in development and optimization of AI frameworks. If you are a team player with excellent communication skills and motivation to revolutionize application performance, youre welcome on board!
What will you be doing?
Work as part of an innovative research team to analyze, develop, test and deploy improvements that enhance Huaweis distributed AI framework.
Develop optimizations that leverage hardware accelerator capabilities, minimize communication overhead and improve training/inference throughput
Push the boundaries of the state of the art in LLM performance and efficiency, including model compression and quantization
Analyze, profile and optimize the latest LLM AI algorithms, and implement as production-quality software libraries for latency-critical use-cases on next-generation hardware.
Work in a distributed computing environment to optimize for both scale-up (multi-device) and scale-out (multi-node) systems
Utilize advanced concepts such as Uncertainty Quantification, Mixed Precision Computing and Model Sparsity to improve performance and enable training of very large AI models
Collaborate with partners from top universities, and open-source communities to conduct state-of-the-art research.