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We're looking for an AI Product Engineer to join the AI team and own how our product knowledge translates into reliable AI agent capabilities. This role sits at the intersection of product expertise and AI implementation. You won't write code or build ML models. Instead, you'll analyze agent interactions, create prompts and skills, improve documentation for AI consumption, label datasets, and write evaluations.
Think of this as a Knowledge and Content Manager for AI. You'll make sure our agents can accurately answer questions about us, guide users through workflows, and reduce support escalations.
Key Responsibilities:
Analyze AI inputs and outputs - Review agent conversations to identify gaps, hallucinations, and improvement opportunities
Create and maintain prompts and skills - Build reusable capabilities that encode our product logic and terminology
Improve documentation structure - Restructure docs so agents can cite accurate, step-by-step guidance
Label datasets and write evaluations - Measure agent quality across common questions and track improvements
Collaborate across teams - Work with Product, Docs, Support, and GTM to address real user pain points
Maintain the AI capability library - Keep prompts and skills organized with sendversioning and usage insights.

Flytrex is revolutionizing on-demand delivery in the US suburbs, using drones to deliver food and retail directly to customers’ back yards. Together with partners such as Uber & DoorDash, we’re turning science fiction into reality. We are looking for a reliability-minded Electronics Engineer to join our multidisciplinary team in center Tel Aviv. This video gives a high level explanation of what we are doing.. In this position you will:
* start from derivation of design requirements from the systems level and product architecture.
* develop electronic module designs from inception to production (EVT, DVT and PVT) in multiple general areas: battery management, motor control, flight control, sensors, embedded Linux, ATE jigs and other support equipment.
* take ownership of electronic designs.
* be the technical liaison with contract manufacturers.
* ensure continuity of production, adjusting the design as required to keep form, fit and function.
* design and develop testing & checkout coverage, strategy and procedures for production.
* implement, track & document corrective and design changes.
* support bring-up & debug of modules, and perform root cause analysis on anomalies.

We are looking for a Fullstack Engineer who brings strong ownership, clear communication, and a practical, can-do mindset. Youll join the Commerce squad and build high-impact capabilities across our core commerce and internal platforms, including Admin experiences for Operations and Customer Support, as well as services that power pricing, promotions, product data, and order lifecycle flows. Youll operate in a fast-paced environment with high engineering standards, partnering closely with Product, Engineering, DevOps, and cross-functional stakeholders to deliver meaningful outcomes.

Roles and Responsibilities:

Design and implement scalable front-end systems using React, Material UI, and atomic design patterns, focusing on reuse and consistency across the Admin experience
Design and implement scalable microservices with strong API contracts and maintainable architecture
Own features end-to-end: clarify requirements, propose technical designs, break down delivery, coordinate dependencies, ship, monitor, and iterate based on real usage and business impact
Contribute to event-driven commerce architecture: publish and consume events, design resilient workflows, handle retries and idempotency, and ensure data consistency across services
Work with MongoDB and other data stores as needed, designing schemas and access patterns that support scale, performance, and long-term maintainability
Work with AWS cloud infrastructure and production systems, including observability, deployments, and operational readiness

We are looking for a Senior Fullstuck Engineer, a highly motivated professional leader with strong interpersonal skills who possesses a can-do approach to lead diverse and big technical initiatives based on high standards in a fast-paced environment, based on our goals. As a Senior Fullstack Engineer, you will make an impact on residents growth by developing business applications for Operations, CRM, CS, analytics, and more. You will partner with cross-functionally and different stakeholders to prioritize resources according to the business needs, working closely with Product Managers, Engineers, DevOps, and others.

Roles & Responsibilities:

Lead core business operations: Oversee the entire process from customer purchase to delivery.
Approve design documents and code reviews: Ensure adherence to technical standards and best practices.
Collaborate with third-party vendors and services, both internally and externally.
Build new infrastructure from scratch: Develop a robust backend system using Node.js and TypeScript.
Manage efficiency processes of large-scale data.

If you have a proven track record in managing Facebook campaigns, a keen eye for visual storytelling, and a passion for leveraging data-driven insights to drive business success, we invite you to explore this exciting opportunity and contribute to our mission of delivering exceptional digital experiences to our customers.

Responsibilities:
Plan and execute Facebook campaigns for the US market.
Manage and optimize campaign budgets to ensure the highest possible return on investment.
Identify new growth opportunities.
Collaborate with internal teams or external agencies to produce compelling video content.
Work closely with the marketing team to develop creative concepts and storyboards for video campaigns.
Provide input on scriptwriting, shot lists, and visual elements to enhance the effectiveness of video content.

Founded in Tel Aviv in 2016, we are a computer vision and data company that creates automatic vehicle inspection systems to encourage road safety and increase transparency across the automotive industry. With key partnerships including General Motors, Volvo, and CarMax among others, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, security checkpoints, and more. Want to be an essential part of setting the standard for safety in the auto industry? Check out the description below to see if youre a great fit! UVeye is seeking a highly skilled and innovative system Engineer to join our R&D team. The ideal candidate will have a strong background in systems engineering, particularly in optical sensors and visible light cameras. You will play a crucial role in the development and optimization of our multidisciplinary system, ensuring its high performance across various applications.
Heres what youll be doing:
* Develop innovative solutions to challenging customer use cases
* Define system architecture for new products through collaboration with optics, mechanics, electronics, SW and algorithm teams.
* Design and integrate system features, calibrations, and performance optimizations.
* Support existing products, including root cause analysis and solutions to customer issues.

Our data science team is seeking a highly skilled AI researcher with expertise in modern AI methods (e.g., multi-agent architectures, reinforcement learning on LLMs) and a passion for transforming theoretical challenges into real-world products.
In this role, you will leverage our unique clinical datasets to design and build groundbreaking solutions that provide medical benefits to millions of people. You will take full end-to-end ownership of your models - from ideation and research to production deployment and ongoing monitoring.
Working across both research and production environments, you should have proven experience in developing and deploying machine learning algorithms, along with strong interpersonal and collaboration skills. We value independent thinkers who are also proactive doers.

What Youll Be Doing:
Develop clinical AI models to support Ks clinic workflows, with a focus on patient-facing applications
Design and implement scalable, efficient pipelines for data preprocessing, information extraction, and model training
Stay up to date with the latest AI research and best practices, and translate them into production-ready solutions
Communicate complex technical concepts and solutions to non-technical stakeholders
Collaborate with MLE and AI engineering teams to deploy scalable, robust solutions

We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team.

In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis.

If youre passionate about AI, machine learning, and writing high-quality code-and are eager to contribute to innovative, impactful do good projects in the digital health space-wed love to hear from you!

What you'll be doing:
Design, develop, and maintain our machine learning ecosystem libraries.
Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
Create and maintain CI scripts to ensure seamless integration and delivery.
Conduct thorough code reviews to uphold high-quality standards.
Collaborate closely with data scientists, understanding and addressing their evolving needs.
Work alongside software developers to seamlessly integrate machine learning models into production systems.
Stay current with the latest advancements in machine learning, leveraging innovative techniques to enhance the companys products and services.

In this key engineering role in one of our multidisciplinary product teams, you will take end-to-end ownership of the engineering discipline and tasks that will bring the most impact and joy to millions of learners. All this while quickly learning and adapting to do whatever it takes to solve the unsolvable.

We are looking for an experienced ML/AI engineer to anchor our ML Platform team. You will lead the effort to productize our Large Language Models, transforming experimental code into robust, efficient services. Your goal is to build the infrastructure that allows our Data Scientists to move fast without breaking production.

What you'll be doing:
Model Development & Optimization

Fine-tuning & Engineering: Develop and fine-tune LLMs/classic models for specific medical tasks (condition detection, dialogue systems) using internal datasets.
Research to Production: Partner with Data Scientists to develop experimental code into scalable, production-ready modules.
Platform Engineering & Infrastructure

Pipeline Orchestration: Build and maintain complex ML workflows using Kubeflow Pipelines (KFP) or similar orchestration tools.
Internal Tooling: Develop and manage the internal Python ecosystem-libraries, SDKs, and utilities-that the Data Science team uses for daily development.
CI/CD & Automation: Write and maintain CI/CD scripts to automate the testing, versioning, and deployment of machine learning artifacts.
Production Standards & Integration

System Integration: Work with backend developers to integrate trained models/agents into the core application architecture.
Code Quality: Enforce high engineering standards through code reviews, ensuring that research code meets production reliability and maintainability requirements.
Requirements Engineering: Translate evolving data science requirements into concrete infrastructure and platform features.

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.

Were hiring a Full-Stack / Platform Engineer to own the interface that connects our tech to the real world - what defense users, operators, and mission teams actually see and use.

This is not a pure frontend or backend role. Youll own the full stack that powers real-time situational awareness: from backend APIs and telemetry pipelines to Command & Control dashboards and alerting surfaces. Your work is what turns a tech demo into a fieldable product - enabling tasking, live streaming and alert monitoring, post-mission review, and secure control workflows for mission-critical operations.

This isnt a narrow frontend job - its an opportunity to build the next generation of AI-powered maritime software 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?
Build the C4I UI MVP and operational dashboards for tasking, alert review, and evidence playback.
Design and implement backend services, APIs, and real-time telemetry pipelines (WebSockets, UDP).
Manage multi-sensor data ingestion, storage, and metadata schemas for tracks, alerts, and evidence.
Implement streaming video, alert overlays, and user interaction surfaces.
Own cloud/on-prem deployment patterns, containers, CI/CD and environment configuration.
Translate operational workflows into clean, intuitive interfaces that reduce cognitive load.
Drive reliability, latency, and last-mile polish for field pilots and demos (alerting, playback, exports).
Collaborate closely with product, field, and algorithm teams to iterate fast and deliver.

Were hiring a hands-on, field-oriented Integration Engineer to own the critical path between R&D and real-world deployment. This is a builder/operator role responsible for turning advanced prototypes into stable, reliable systems at sea. You'll spec hardware, assemble and validate kits, lead on-site installs, automate deployment and test procedures, and close the loop with issue diagnosis and remediation.

This is an opportunity to shape the physical and operational backbone of 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?
Specify hardware components and prepare detailed BOMs for field deployment kits.
Assemble and validate systems via bench testing, HIL/SITL setups, and lab acceptance procedures.
Develop and maintain robust installation, commissioning, and pre-deployment validation flows.
Automate image builds, deployment pipelines, and pre-flight health checks.
Monitor system health, lead incident diagnosis, and implement field-resilient fixes.
Create and maintain runbooks, SOPs, and installation checklists; train local partners and contractors.
Continuously improve field processes: reduce MTTR, simplify logistics, and scale deployment repeatability