לוח משרות דרושים AI Engineer בתל אביב יפו, לחיפוש זה נמצאו 74 משרות

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

An AI startup is looking for an AI Engineer to join its core team at an advanced and critical pre-launch stage.
This role focuses on building AI capabilities at the heart of the product, working on LLM-based systems and AI agents, and collaborating closely with product and data teams.
Responsibilites:
Develop and implement AI agents and LLM workflows
Work on prompting, retrieval, context management, and evaluation pipelines
Bring AI-based features and modules into production
Improve system answer quality and reliability
Collaborate with the data team on semantic layers and data modeling
Develop in Python within a production environment
Work with Docker, Git, and modern development workflows

An AI startup is looking for an AI Engineer to join its core team at an advanced and critical pre-launch stage.
This role focuses on building AI capabilities at the heart of the product, working on LLM-based systems and AI agents, and collaborating closely with product and data teams.
Responsibilities:
Develop and implement AI agents and LLM workflows
Work on prompting, retrieval, context management, and evaluation pipelines
Bring AI-based features and modules into production
Improve system answer quality and reliability
Collaborate with the data team on semantic layers and data modeling
Develop in Python within a production environment
Work with Docker, Git, and modern development workflows

We are looking for a driven AI Adoption Specialist to support the successful adoption of AI-based productivity tools for enterprise clients. The role involves leading workshops, onboarding sessions, and user trainings as part of end-to-end implementation projects, alongside hands-on work within customer environments.
Key Responsibilities:
Lead implementation projects for AI-based productivity tools with global clients.
Conduct discovery and needs assessment sessions to define adoption strategies and technical solutions.
Design and deliver training programs tailored to various user groups.
Deliver professional trainings, workshops, and onboarding sessions (in-person and remote) for end users, managers, and IT teams.
Create clear and user-friendly documentation, playbooks, and learning materials.
Support clients post-implementation, helping ensure successful and sustained adoption.
Collaborate with cross-functional teams and adapt solutions to meet both technical and business needs.
Utilize low-code/no-code tools (e.g., Power Platform) to build simple agents, bots, or workflows where relevant.
Stay updated on trends and new features within the Microsoft ecosystem and modern work technologies.

We are seeking for a talented AI/ML developer with strong focus on Python expertise and hands-on experience in AI/ML models to join our Data Science group. The Data Science group plays a pivotal role in driving the execution and delivery of advanced AI and modern Machine Learning solutions, that empower impactful projects to our target sectors.
Key Responsibilities:
Take part in all development aspects, from concept to production, of AI/ML models and LLM-based features (agents development)
Stay up to date with state-of-the-art research in the field of LLM and apply relevant advancements to improve our solutions
Mentor new team members and share your expertise to strengthen the teams collective knowledge

We are seeking an experienced Generative AI Engineer to join our AI squad at our company. This is a unique opportunity to wear multiple hats - serving as both a developer of cutting-edge GenAI solutions and an advisory expert helping organizations transform their AI capabilities. You'll build end-to-end GenAI projects from conception to production while staying at the forefront of this rapidly evolving field.
Key Responsibilities
GenAI Development & Implementation
End-to-End Development: Build GenAI solutions from POC through production deployment, handling all backend development responsibilities
Client Engagement: Participate in technical discussions with clients, gather requirements, and help translate business visions into feasible technical solutions through presentations and consultations
Backend Development: Design and implement production-grade microservices architectures for GenAI applications using Python
Cloud Implementation: Deploy and manage GenAI solutions across GCP, Azure, and AWS platforms, leveraging cloud-native AI services
Cross-functional Collaboration: Work closely with project managers, full-stack developers, and Power Automate teams to deliver complete solutions
System Evaluation: Assess and optimize production-grade GenAI systems for performance, scalability, and reliability
Continuous Learning & Innovation
Technology Scouting: Continuously explore and evaluate new GenAI models, frameworks, and techniques as they emerge
Best Practices Development: Establish and refine methodologies for GenAI solution development and deployment.

Were looking for a hands-on Senior AI Engineer to both build and guide. Youll architect and ship production GenAI systems while mentoring engineers - keeping one hand on the keyboard and one eye on the roadmap. This isnt a seat at a whiteboard - its a role for someone who can write a RAG pipeline in the morning and run a technical design review in the afternoon.Youll work on client-facing projects, building AI systems that go live across organizations and industries.
What Youll Do
Lead the design and delivery of end-to-end GenAI systems - from prototype to production
Write production-quality code, review PRs, and set a high engineering bar
Build and deploy LLM-powered applications (RAG pipelines, agents, fine-tuned models)
Define architecture patterns for prompt engineering, retrieval pipelines, and model evaluation
Partner with product, data, and platform teams to deliver real-world AI solutions
Mentor engineers, contribute to design reviews, and provide technical guidance
Evaluate and introduce new tools, models, and frameworks.

We're looking for a Software Engineer with strong backend and cloud expertise to join our AI team. You'll design and build backend systems that integrate Generative AI capabilities, contributing across the stack from API development to cloud deployment.
This role is ideal for someone who thinks in systems, loves solving complex problems, and can go deep into implementation details while keeping the big picture in mind. You'll work closely with our team lead on architectural decisions and take ownership of project delivery.
Key Responsibilities
Systems Design & Development
Design and build complete backend systems APIs, databases, queues, authentication, and integrations
Develop Python services with strong focus on code quality, performance, and reliability
Design solutions that scale across different client environments (cloud and on-prem)
AI Integration
Integrate LLMs (Multi Agents Systems) and GenAI capabilities into production systems
Build orchestration layers and workflows that combine AI with traditional backend logic
Optimize AI system performance, cost, and reliability
Cloud & Infrastructure
Deploy and manage systems across major cloud platforms (GCP, Azure, AWS)
Work with cloud-native services, databases, and infrastructure tools
work with production systems, monitoring, and operational health
Collaboration & Delivery
Communicate with client development teams, DevOps, and business stakeholders
Guide frontend developers on API contracts and integration requirements
Contribute to technical decisions and solution design within the team
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures
Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders
Provide strategic technical guidance.

At UVeye, we’re on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world’s first fully automated suite of vehicle inspection systems, with advanced AI at the core, spanning machine learning, GenAI, and computer vision across the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 300 employees is united around a culture of innovation, excellence, and teamwork as we build a safer automotive world.
We are looking for an experienced Robotics AI Engineer to build the AI core of UVeye’s robotics inspection platform. You will design and ship the perception and policy models that let a mobile, dexterous robot approach a vehicle, position sensors, and complete inspection tasks reliably in real-world environments.
A day in the life and how you’ll make an impact
* Design and train deep learning models for robot perception, including 3D scene understanding, vehicle pose, and occlusion handling.
* Develop visuomotor and policy models for sensor positioning, navigation, and manipulation around vehicles.
* Adapt and integrate UVeye’s existing inspection models onto the robotic platform.
* Build sim-to-real pipelines and run experiments in simulation and on real hardware, iterating fast on failure modes.
* Own the technical quality and reliability of the AI stack as it moves from prototype to production.

You don't need a traditional technology background to succeed here. What we're looking for is someone who is genuinely passionate about AI, technically sharp, and capable of owning complex projects end to end. The technology operations side of the role is learnable; the drive, curiosity, and communication skills are not.
You'll be the person who shapes how our company uses AI internally, builds the systems that keep our technology running smoothly, and ensures our security and compliance obligations are met on time.
Responsibilities
Gen-AI & Intelligent Tools
You'll own this from day one. we are actively building AI into how every team operates, and you'll be the person making that happen.
Continuously explore the generative AI landscape and bring forward clear, well-reasoned recommendations on what our company should adopt
Lead the full lifecycle of AI tool rollouts, from identifying the right solution, building the business case, managing the rollout, and driving adoption across teams
Build and automate workflows using AI and no-code/low-code tools that remove friction and free up people to focus on higher-value work
Become the internal go-to for anything AI related, running training sessions, writing guides, and helping teams get practical results from the tools they use
Track and report on the ROI and adoption of deployed tools, and adjust course when something isn't working
Stay obsessively current on what's happening in AI, new models, new agent frameworks, new use cases, and translate that knowledge into concrete action
Technology Operations
Take ownership of our company's internal technology stack, including devices, software, user accounts, and day-to-day support
Manage employee onboarding and offboarding from a technology perspective
Keep SaaS tools, licenses, and vendor relationships organized and up to date
Maintain clear documentation so nothing lives only in your head
Security & Compliance
Keep ISO certification requirements on track by managing audit schedules, documentation, and coordinating evidence collection across departments
Drive SOC 2 readiness by maintaining the evidence library (access reviews, training records, change management logs) and supporting auditor visits
Vet new suppliers before onboarding by collecting security documentation, ensuring agreements are signed, and keeping the vendor register current.

As an AI Productivity & Implementation Specialist, you will partner with business units across our company to identify where AI can eliminate friction, accelerate processes, and create measurable efficiency gains. You will not just recommend. You will build, deploy, and own the solutions end to end.
This is a high-visibility role in a team that reports to the COO. Your work will be measured in business outcomes, not activity.
What You Will Do
Partner with business unit leads and department heads to map their end-to-end processes, identify inefficiencies, and assess whether a process should be eliminated, redesigned, or enhanced with AI.
Design and deploy AI-powered automations and workflows using no-code and low-code tools (e.g. BlinkOps, n8n, Claude Cowork, GPT integrations, or similar).
Run AI productivity projects from discovery through deployment and adoption, owning the full lifecycle.
Inspect end-to-end organizational processes and evaluate whether they are needed, broken, or candidates for AI enhancement.
Translate business problems into clear AI solution briefs and present recommendations to non-technical stakeholders.
Develop organizational learning tools and lead training sessions to ensure employees actually use the AI solutions you deploy.
Track and report measurable outcomes: time saved, cost reduced, error rates reduced, cycle times improved.

Were on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI application foundation behind our next-generation cyber-AI product.
This team owns the core backend and frontend infrastructure that powers all user-facing applications - as well as the agentic and conversational frameworks that bring intelligence and automation into the experience.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the systems that enable every other Engineering group to create fast, scalable, and intelligent apps on top of our platform.
Responsibilities
Lead a multidisciplinary team responsible for backend services, frontend frameworks, and AI agent infrastructure - the technical bedrock of our product experience.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and build robust frameworks and systems that power all customer-facing applications.
Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows.
Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.