לוח משרות דרושים AI Engineer בתל אביב יפו, לחיפוש זה נמצאו 70 משרות

The WWSO AI Infrastructure team is the go-to partner that delivers the architecture, deployment, and optimization guidance required for self-managed workloads. The ideal candidate must be self-motivated with a proven track record of customer obsession and delivering results. The ability to connect technology with measurable business value is critical. You should also have a demonstrated ability to think strategically about business, products, and technical challenges in AI.

Key job responsibilities
- Own and execute the AI Infrastructure go-to-market strategy for Israel, driving pipeline creation, deal progression, and revenue attainment across EC2 accelerated compute, Amazon EKS for AI workloads, and Amazon SageMaker HyperPod and Inference.
- Identify, engage, and win high-value AI infrastructure customers-including model producers, AI-native startups, and enterprises building domain-specific AI solutions across industries such as financial services, healthcare, manufacturing, and telecommunications.
- Develop and execute account-level strategies for priority customers running or evaluating large-scale AI training and inference workloads, positioning us as the platform of choice.
- Execute strategic partner co-sell motions with key ecosystem players including NVIDIA, open-weight model providers (e.g. Meta, Mistral), and inference framework communities (vLLM, Ray, Anyscale).
- Collaborate with consulting and systems integration partners to enable AI infrastructure best practices and drive joint customer engagements
- Lead scaled GTM motions including developer community engagement, customer roundtables, workload assessments, and regional campaigns that position our AI infrastructure leadership
- Aggregate voice-of-customer feedback on capacity, performance, pricing, and feature requirements-working with our service teams to influence product roadmaps and regional infrastructure investments
- Contribute to EMEA-wide AI Infrastructure initiatives beyond your primary region, collaborating with peers across France, Germany, UKI, and the Nordics on strategic programs and high-value opportunities

Were hiring a Director of Engineering to lead our agentic capabilities across the platform, including the AI Assistant, MCP Server, and a rapidly expanding ecosystem of autonomous workflows. This is a high-impact role shaping how developers and organizations build, secure, and deliver software-through enterprise-grade AI that can take action, operate safely, and scale across SaaS and self-hosted environments.
As a Director of Engineering, you will...
Lead the engineering group delivering AI capabilities across the platform, powering customer-facing agentic experiences at scale
Shape the vision and drive the execution for AI Assistant, MCP Server, and platform-wide agent workflows
Ship enterprise-grade AI-secure, reliable, and observable-running in SaaS and self-hosted environments
Define the quality bar for AI delivery, including evaluation, safety guardrails, and continuous improvement loops
Stay ahead of LLMs, AI agents, and DevOps automation trends, translating innovation into platform differentiation
Build and mentor high-performing teams and a culture of execution, automation, and continuous improvement
Partner with Product, Security, and engineering leaders to drive adoption and make measurable customer impact.

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 AI 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.

we are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.

We're looking for a talented Software Engineer with enthusiasm for AI/GenAI to join our innovation-focused team building agentic AI systems autonomous, reasoning-driven software agents capable of orchestrating complex tasks across tools, APIs, and data sources.
You'll design and build scalable backend systems that integrate large language models (LLMs) and other AI technologies into production-grade services. This role blends backend engineering, AI integration, and rapid prototyping, with room to learn, experiment, and deliver impactful, scalable solutions.
Architect and implement distributed services that power AI-driven applications.
Implement multi-step reasoning pipelines, retrieval-augmented generation (RAG), and domain-specific AI capabilities.
Build robust APIs, plugins, and integrations enabling AI agents to interact with external systems and data sources.
Create and refine proof-of-concepts, validating ideas quickly before scaling to production.
Implement monitoring, evaluation, and logging systems to track AI-powered features in production.
Work closely with product managers, designers, data scientists, and AI engineers to deliver user-focused solutions.
Stay curious about emerging AI frameworks, tools, and best practices to improve reasoning, planning, and autonomy in backend services.

MA?LYS is a fast-growing global body care brand, built on a proprietary e-commerce platform, deep consumer insights, and a relentless focus on performance. Millions of women worldwide use our products, and we are on a mission to become one of the most influential body care brands globally. We operate at extreme velocity, with high standards and an obsession with results. We believe in challenging conventional thinking, making data-driven decisions, and moving quickly from idea to execution. We are looking for a Head of AI to build and lead MA?LYS' AI transformation journey, serving as a rare opportunity for a highly strategic and deeply hands-on builder who thrives at the intersection of business, technology, and execution. In this role, you will have the ultimate playground to shape how our entire company operates, influence every major function, and create a lasting competitive advantage for a leading body care brand. Initially operating as an individual contributor partnering closely with the CEO and the Management Team. Over time, you will transition to build and lead a small, high-performing team as AI becomes an increasingly critical capability across our global e-commerce and retail operations. To thrive in our high-pace environment, you must think like an owner, not a consultant, and be equally comfortable discussing macro business strategy with executives as well as writing code to solve a messy problem yourself. You are someone who embraces ambiguity, enjoys building from scratch, and is completely obsessed with execution. You possess the high emotional intelligence and empathy required to collaborate with non-technical stakeholders and build trust, yet you maintain the thick skin, resilience, and great sense of humor needed to handle direct communication and rapid structural pivots. Most importantly, you maintain an uncompromising commitment to quality and process improvement, ensuring that every automation or workflow you deploy actively drives our core business metrics forward without requiring hand-holding or constant reminders. Your life at MA?LYS will look like… • Define and lead the company's AI strategy and execution roadmap. • Identify the highest-impact opportunities for AI across all business functions. • Prioritize initiatives based on measurable business value, speed of implementation, and scalability. • Design, build, deploy, and continuously improve AI-powered workflows, tools, automations, and agents. • Translate business challenges into practical AI solutions that improve performance, efficiency, and decision-making. • Develop production-ready applications and workflows using modern AI technologies, APIs, agents, and automation frameworks. • Drive adoption and behavioral change across teams. • Partner directly with business leaders to identify opportunities and implement solutions. • Evaluate emerging technologies, models, vendors, and platforms. * Establish governance, standards, architecture, and best practices for AI development. • Define and track success metrics for every AI initiative, ensuring measurable impact on growth, productivity, speed, efficiency, or cost.
You will thrive in this role if you have… • Strong technical foundation in Computer Science, Software Engineering, Data Science, or a related field. • 5+ years of experience building technology, data, AI, automation, or software solutions in high-performance environments. • Proven experience identifying business opportunities and translating them into deployed AI products, agents, automations, or workflows that drive measurable business impact. • Hands-on experience working with modern generative AI technologies, LLMs, agent frameworks, APIs, embeddings, automation platforms, and production deployments. • Strong proficiency in Python, SQL, APIs, and data-driven application development. • Deep understanding of business operations, growth metrics, performance marketing, and operationa

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.

Were seeking a passionate Senior AI Engineer to join our AI team. With a wide array of responsibilities and corresponding impact, youll help spearhead our new product offering and the world-class AI conversation product impacting millions of patients.
Responsibilities
Design, develop, and drive design processes and products that incorporate Generative AI (LLMs), models and knowledge Retrieval in order to help patients across the US.
Design and define data pipelines and evaluation pipelines.
Build applicative AI in production on a large scale.
Build solutions for different mediums, including voice products with minimal latency and high accuracy.
Provide a scientific evaluation of the quality of our models.
Continuously improve our existing NLP capabilities to help patients across the US answer any question, schedule appointments with their doctor, refill their prescriptions, and much more.

We are currently seeking an experienced Full-Stack Engineer to join our team.



Role & Responsibilities:

You will be delivering scalable web applications from idea to production , while taking care of all aspects of software development-from technologies and security to scalability and reliability processes.

End-to-End Ownership: You will have full ownership of your features from the architecture level, through design, and finally implementation.
Cloud Infrastructure: Be part of the design, maintenance, monitoring, and troubleshooting of our cloud applications and infrastructure.
Technical Excellence: Drive technical excellence, high product quality, innovation, and timely delivery in an agile, production-critical environment.

we are looking for a Senior AI Engineer.
As a Senior AI Engineer on the Guardian Agents team, you will develop both our autonomous "digital employees" that execute security programs and the Control Plane that governs them. You will build a platform that allows customers to calibrate agents through conversation, ensuring human feedback is transformed into persistent organizational knowledge. By engineering these closed-loop systems, you enable agents to learn, evolve, and deliver accurate, goal-driven security outcomes at scale.
Architect Autonomous Agents: Build goal-driven agents for complex security tasks like false-positive reduction and automated triage.
Build the Control Plane: Develop the infrastructure for Human-in-the-Loop (HITL) feedback, natural language calibration, and stateful memory systems.
Engineer for Growth: Implement evaluation frameworks and "organizational memory" to ensure agents stay accurate and follow historical security precedents.
Bridge AI & Engineering: Collaborate in a "Core Pod" with Security Researchers and Data Scientists to turn raw security signals into scalable, productized agent behaviors.
Scale Data Pipelines: Integrate agents with Big Data foundation to ensure real-time context and tenant-safe execution.

we are looking for a Senior AI Researcher.
This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. Youll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response.
The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation.
Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics.
Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines.
Publish and share: produce Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty.
Build tools: Several open source libraries exist (like Anthropics attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments.

As our AI Team Lead, you will sit at the intersection of cutting-edge research and production engineering, guiding a high-performing team of Data Scientists and Engineers. This is a deeply hands-on leadership role where you will drive the end-to-end lifecycle-from initial research and PyTorch training to deploying sophisticated multi-modal AI (Text, Image, Audio, and Video) in high-throughput environments. Join us in building the future of responsible AI adoption and digital integrity.

Responsibilities
Manage and grow a high-performing team of AI researchers and engineers, fostering technical excellence.
Drive the design and training of multimodal models applications (Text, Image, Audio, Video) using PyTorch.
Own the AI roadmap from initial concept to scalable, high-throughput production.
Partner with Product, Backend, and Security teams to integrate AI solutions globally.
Stay at the forefront of GenAI/LLM research to continuously improve our detection engines.

Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, data scientists, and analysts.
Design, build, and optimize end-to-end AI-driven features and agentic workflows - from experimentation to validation and deployment (using Python and C#).
Develop scalable backend services to support production-grade agentic AI features.
Build and improve solutions powered by LLMs, AI agents, multi-agent systems and generative AI frameworks.
Evaluate agentic architectures and models performance, and contribute to monitoring, reliability, and continuous improvement in production.

Required AI Software Engineer
Description
We build AI-powered vision systems that enhance safety and decision-making for some of the worlds largest vessels.
Our platform processes live video streams from multiple onboard cameras to provide real-time situational awareness, detecting and tracking marine objects, even in low visibility and highly congested environments. These systems directly support navigational decisions and help prevent collisions, reduce human error, and improve operational efficiency.
Our systems are already deployed across thousands of vessels and have processed hundreds of millions of nautical miles of real-world data, operating in unpredictable and safety-critical conditions.
This role sits at the intersection of AI and high-performance systems engineering, focused on solving real-world problems under strict constraints. You will work on systems where performance and reliability are critical and where improvements have a direct, measurable impact on real-world safety.
This is a senior, systems-focused role with end-to-end ownership over performance and reliability of production computer vision pipelines. You will define optimization strategies, identify bottlenecks across the system, and drive improvements under real-world constraints.
What youll do:
Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server)
Take models from research and turn them into production-ready, reliable components deployed on vessels
Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessing
Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination
Make and justify tradeoffs between latency, accuracy, stability, and resource utilization
Design and implement robust data and inference pipelines (video -> model -> actionable output for crew)
Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating
Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems
Define and maintain clear interfaces between research code and production systems
Work closely with research and backend teams to integrate new models into production systems
Continuously improve system efficiency and reliability under hardware and runtime constraints.

Were looking for a hands-on Edge Software Engineer to join our Innovation Team and build the software backbone that connects prototype AI perception to operational deployment. This is a mid-to-senior level role focused on reliability at the edge. Youll own communication and synchronization across distributed platforms, design robust runtime architectures, and package perception pipelines into production-grade modules built for harsh real-world constraints.
This isnt a narrow backend job - its an opportunity to build the next generation of AI-powered maritime infrastructure from the ground up, with full ownership and impact, alongside the most innovative team in the most advanced company in this space.
What Will You Do?
Architect and implement containerized edge pipelines (Docker, DeepStream/Triton) for Jetson and x86
Design and implement the edge comms stack (sync, heartbeat, telemetry)
Lead cross-functional integration with algorithm, product, and field teams
Own the end-to-end integration of AI models into embedded systems
Drive profiling, debugging, and performance tuning in constrained environments
Support hardware-software integration in both lab and vessel environments
Contribute to strategic innovation rollouts and project qualifications
Challenges & Opportunities:
Tackle real-world edge integration with embedded AI systems
Lead visible, strategic innovation projects with external partners
Help define the future of autonomy in the maritime world
Join a high-impact, close-knit team working at the bleeding edge of autonomy and robotics