לוח משרות דרושים Gen AI Engineer בתל אביב יפו

This is a role for someone who wants to shape the fundamentals of our platform, both technically and strategically. Youll lead the design of scalable GenAI systems and connectivity to other platforms and tools, define effective AI best practices, mentor engineers, and influence how AI is built across the company, all while staying deeply hands-on. Its about ownership and impact: building, leading, and shaping impact end-to-end.
What You'll Do:
Lead the architecture and implementation of scalable GenAI solutions.
Define and enforce AI best practices: evaluation, privacy, responsible AI, and performance.
Drive AI strategy across teams and products.
Read, interpret, and apply cutting-edge AI research.
Design infrastructure that enables AI at scale-from zero to one to production.
Mentor engineers and grow technical leadership across the organization.

Were looking for an AI Creative Gen- someone who lives and breathes visual creation and wants to redefine how video and stills are made. Think of this as the digital cinematographer of 2026. You dont just 'prompt'- you engineer multi-model workflows, integrate complex compositing techniques, and bridge disparate tools into a unified pipeline. You build, composite, and direct.
In your day-to-day, you will
Own visual projects end-to-end - from receiving a storyboard to delivering high-end, cinematic video and stills using AI as your primary camera and studio
Direct the machine - apply your deep understanding of cinematography (lenses, lighting, camera angles, and composition) to guide AI models toward photorealistic perfection
Build & architect workflows - design and engineer hybrid production pipelines by integrating multiple models within WIVI. You will be responsible for orchestrating workflows that connect Midjourney, Image-gen models, and the latest video engines into a seamless output
Master the "non-AI" look - use VFX and compositing skills (After Effects/Premiere) to eliminate artifacts and ensure every frame feels intentional, grounded, and premium
Drive R&D through production - collaborate with the Motion Studio and Creative teams to solve high-complexity briefs. You dont innovate in a vacuum; you push the technical boundaries of AI within live projects, discovering new creative solutions and "impossible" workflows while executing at the highest level
Bridge the gap - combine AI-generated content with real-world photography or 3D renders to create seamless, high-fidelity brand stories.

Required Forward Deployed Engineer III, GenAI, Cloud
About the job
As a GenAI Forward Deployed Engineer, you will be an embedded builder bridging the gap between frontier AI products and production-grade reality for our customers. You will function as a builder-consultant, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customers environment.
In this role, you will manage blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white-glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into our future product roadmap.
It's an exciting time to join our Go-To-Market team, leading the AI revolution for businesses worldwide. Youll excel by leveraging our brand credibility-a legacy built on inventing foundational technologies and proven at scale. Well provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. Were a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.
Responsibilities
Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment.
Architect and code the connective tissue between ourAI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Identify repeatable field patterns and technical friction points in our AI stack, converting them into reusable modules or product feature requests for the Engineering teams.
Drive engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.

Required Forward Deployed Engineer II, GenAI, Cloud
About the job
As a Generative Artificial Intelligence (GenAI) Forward Deployed Engineer, you will be an embedded builder bridging the gap between frontier artificial intelligence (AI) products and production-grade reality for our customers. You will function as a builder-consultant, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customers environment.
In this role, you will manage blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white-glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into our future product roadmap.It's an exciting time to join our Go-To-Market team, leading the AI revolution for businesses worldwide. Youll excel by leveraging our brand credibility-a legacy built on inventing foundational technologies and proven at scale. Well provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. Were a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.
Responsibilities
Serve as the primary developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment.
Architect and code the connective tissue between our AI products and customer's live infrastructure (e.g., APIs, legacy data silos, and security perimeters).
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Identify repeatable field patterns and technical friction points in our AI stack, converting them into reusable modules or product feature requests for the engineering teams.
Deliver engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.

Required Senior Software Engineer, Cloud, Generative AI, Blackbelt
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Cloud Platform Generative AI Blackbelt team helps customers unlock their potential with AI. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes using AI and ML.
The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.
Responsibilities
Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Provide AI expertise to support the technical relationship with our customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to our Cloud.
Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Cloud.
Support developers, creators, and enterprises to leverage our Generative Language APIs so they can build their own AI products in the future.
Travel to customer sites, conferences, and other related events as needed.

Required Forward Deployed Engineer IV, GenAI, Cloud
About the job
As a GenAI Forward Deployed Engineer, you will be an embedded builder bridging the gap between frontier AI products and production-grade reality for our customers. You will function as a builder-consultant, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customers environment.
In this role, you will manage blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white-glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into our future product roadmap.It's an exciting time to join our Go-To-Market team, leading the AI revolution for businesses worldwide. Youll excel by leveraging our brand credibility-a legacy built on inventing foundational technologies and proven at scale. Well provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. Were a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.
Responsibilities
Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
Architect and code the connective tissue between our AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.
Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
Identify repeatable field patterns and technical friction points in our AI stack, converting them into reusable modules or product feature requests for the Engineering teams.
Drive engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.

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.

We are looking for a Senior Software Engineer to join our growing Innovative DataEngine team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history. This organization is in the center of the hurricane created by the artificial intelligence revolution.
As a Data Pipelines Engineer, You will be building pipelines on top of the Insight Engine, a one-stop shop to build fully integrated AI pipelines. You will build new and innovative AI pipelines and applications as blueprints for customers and AI practitioners to use.
This is 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, we take the cost and complexity out of deploying enterprise and AI infrastructure across data centers, edge, and cloud.