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Were looking for an AI Algorithms Manager to lead the development of advanced algorithms in the telehealth domain, with a direct impact on how care is delivered and experienced.

In this role, youll lead a team of algorithm developers, drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems. The work focuses on developing AI capabilities in computer vision, signal processing and LLM domains to tackle complex challenges and turn them into reliable, production-ready solutions.

Key Responsibilities
Lead algorithmic development end-to-end- from shaping the technical problem and defining data needs to development, architecture, validation, and implementation
Drive innovation and infrastructure initiatives to advance the solution in alignment with the latest scientific progress
Stay hands-on in research and development, actively contributing to core algorithms and solving complex technical challenges
Design, develop, and optimize models using machine learning, computer vision, and signal processing techniques
Guide the work of team members, providing technical directions, feedback, and support.
Collaborate with cross-functional teams (engineering, product, clinical) during problem definition, solution design and smooth integration into production systems.
Ensure robustness and reliability through proper evaluation, validation, and continuous improvement of models.
Promote best practices in development, experimentation, and code quality.

Were looking for a driven, excellent Senior Backend Developer with a true obsession for technologies, AI, a builder who constantly explore, push boundaries and shares knowledge with others.
Join our Parking Domain and work on large-scale, high-impact systems serving millions of users!
Responsibilities
Lead complex backend projects, from functional specifications and technical design through development, deployment, and production support.
Partner closely with the Team Lead, contributing to team leadership through code reviews, mentoring, and maintaining high engineering standards.
Design, develop, and own scalable, production-grade backend systems.
Architect and lead the development of cloud-native, microservices-based systems and distributed architectures on AWS.
Work with a variety of data storage technologies and make informed decisions on data architecture.
Collaborate with cross-functional teams, including Product, DevOps, and Frontend, to deliver end-to-end solutions.
Actively leverage AI tools such as Cursor, Claude Code, and other AI coding assistants to accelerate development and improve engineering productivity.
Design and build reusable AI sub-agents, skills, and templates to scale development workflows across the team.
Main Tech Stack: Python, .NET Core, AWS, DynamoDB, SQL Server, and more.

Required Production Services
Description
As part of the Production Services team, you will work closely with cross-functional teams to investigate and resolve production issues, perform data analysis using SQL, support call centers with technical inquiries, and help ensure smooth operations in a dynamic, fast-paced environment.
Responsibilities
Support and maintain production environments, ensuring system stability and smooth operations
Investigate and troubleshoot production issues, including deep-dive analysis and data investigation using SQL (Redshift, MongoDB)
Collaborate with Product, R&D, QA, Support, and business teams on cross-functional tasks
Implement and update production configurations, including campaigns, promotions, and system changes
Assist call centers with technical support inquiries.

Were on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the worlds 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, we stand 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 Research Scientist, Sensing to push our inspection beyond todays sensing stack. You will evaluate, prototype, and develop AI models for new sensing modalities such as thermal, hyperspectral, acoustic, radar, structured light, and event cameras, surfacing vehicle defects that todays systems cannot see.
A day in the life and how youll make an impact
* Survey emerging sensing technologies and identify the modalities most likely to expand our defect coverage.
* Prototype with new hardware, build small-scale datasets from scratch, and train modality-specific models.
* Run controlled experiments that benchmark new modalities against todays inspection stack on shared defect scenarios.
* Develop multi-modal fusion approaches that combine new and existing sensors for stronger detection.
* Recommend which modalities graduate into product and partner with R&D and product on integration.

we are building an autonomous drone-delivery network for restaurants in suburban America. We are one of 4 companies that are FAA approved to fly over residential neighborhoods (together with Amazon, Google/Wing and Zipline) but are the only one exclusively focused on restaurants. Uber is an investor in Flytrex and we fly deliveries for Doordash as well. After thousands of successful commercial deliveries and multiple breakthrough FAA approvals, Flytrex is now expanding rapidly across the U.S., starting with Dallas Forth worth. Flytrex is revolutionizing the food delivery industry by making drone delivery a reality. We are looking for an experienced QA Engineer to join a fast-growing multidisciplinary team in our vibrant working environment in the center of Tel Aviv. This is a unique opportunity to work on the worlds leading drone delivery system and be a part of a revolution in the making. As a QA Engineer at Flytrex, you will be part of the team in charge of the quality of the companys products. Main Responsibilities:
* Performing comprehensive QA planning and coordination for multiple projects from the design stage until delivery.
* Collaborating with internal teams (Product, R&D, Field Engineering) to identify system requirements and plan a coherent TEST plan accordingly.
* Planning & developing automated tests for various components of the Flytrex system.
* Managing, analyzing, and handling support tickets that arise from the customers end.
* Creating detailed, comprehensive, and well-structured ATP, STP & STRs.
* Improving the company's products reliability levels.

We are seeking an LLM Engineer to join our innovative team and contribute to the advancement of our security copilot. As an integral member of our growing team, you will play a key role in enhancing our security automation capabilities.

What youll do
Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks.
Design and develop robust REST APIs that seamlessly integrate AI model functionalities within our core product offerings.
Collaborate with R&D and product teams to optimize AI model performance and integration within our workflow automation platform.
Explore and implement novel applications of AI to enhance Blink's automation capabilities and user experience.

We're looking for a hands-on Software Developer to join our R&D team, working on the full pipeline - cameras, video processing, automated production, graphics, and backend infrastructure. If you love low-level systems, real-time challenges, and seeing your code live in actual sports arenas, this is the role for you.
As part of your role, you will:
Develop and maintain high-performance C++ systems across the video pipeline
Work on real-time video processing, ingest/transcode pipelines, and streaming infrastructure
Collaborate with the team on backend services written in Python and Go
Identify and resolve performance bottlenecks in multithreaded, low-latency systems
Work closely with Product, QA, and DevOps to ship reliable, scalable features
Leverage AI tools (primarily Claude) as part of your daily development workflow.

We are looking for a Backend Prompt Engineer with 4+ years of backend experience and proven hands on delivery of GenAI powered features in production environments.

This is not a research or experimentation role. Prompt engineering is system design. You will design reliable, scalable, production ready LLM workflows that power real customer facing capabilities inside a complex distributed platform.

You will work closely with backend engineers, product managers, and architects to integrate LLM based intelligence into core business flows.

Location: Kfar Saba, Israel

Reporting to: AI Team Lead

Roles and Responsibilities:
Design, implement, and continuously improve prompts for LLM driven product features.
Architect and develop backend services in Python.
Integrate LLM APIs such as OpenAI, Anthropic, and AWS Bedrock into production systems.
Implement structured output enforcement, schema validation, and response normalization.
Design robust error handling, fallback strategies, retries, and resiliency mechanisms.
Optimize latency, token usage, throughput, and API cost efficiency.
Build evaluation frameworks and quality control pipelines for AI outputs.
Collaborate with Product and Engineering teams to deliver AI features end to end within us.

You will
You are a solution-oriented professional with expertise in post-sales, software development, and crafting business solutions. A process-driven builder, you thrive on exploring solution development methodologies to deliver optimal results for clients

Responsibilities
Support the Sales team with technical content and call support.
Work with prospects during technical POCs to achieve success.
Design and implement privacy solutions to automate the real-world customer pains.
Maintain a knowledge hub or repository of best practices, resources, and insights (API docs, code examples)
Collaborate with the marketing team to generate demos, case studies, blogs, and videos.
Customer Success Orientation:

Proactive approach to identifying opportunities to deliver value to other customers
Ability to explain complex technical concepts to non-technical audiance

Required Solution Engineer
An automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. We connect to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israels 50 most promising startups two years in a row
Company Highlights:
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
50 employees
HQ in Tel Aviv with growing sales organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, and SciPlay
The Demand Forecasting team is at a pivotal, high-growth stage. This role is highly dynamic, requiring a blend of technical depth and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities
Lead and support customer-facing Demand Forecasting use cases from discovery through deployment
Work hands-on with customer data to design, test, and validate forecasting solutions
Act as a trusted analytical and technical advisor to customers, deeply understanding their business context and datasets
Analyze and explain model outputs and complex analytical concepts in a clear, business-oriented way
Troubleshoot technical and data-related challenges and drive them to resolution
Collaborate closely with Data Science and Customer Success teams, providing structured feedback from customer use cases
Help customers achieve measurable business impact and adoption of our Demand Forecasting module.