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We are looking for a Reliability Engineer! We are looking for a Reliability Engineer who will take part in building the next-generation agentic analytics platform, the first Real-Time database optimized for AI agents at scale. Were looking for a Senior AI Evaluation & Reliability Engineer to define and build how AI agents are measured, validated, monitored, and improved in production. This role sits at the intersection of LLM systems, evaluation research, and production-grade engineering. You will design evaluation methodologies, build LLM-as-a-judge systems, and develop agent-based testing frameworks to ensure correctness, robustness, and reliability of complex multi-agent workflows operating on Real-Time data.
What Youll Do:
* Design and implement evaluation frameworks for AI agents and multi-agent systems.
* Build LLM-as-a-judge pipelines to assess correctness, reasoning quality, and output quality.
* Develop agent-based evaluation systems (agents evaluating agents) for scalable testing.
* Define metrics, benchmarks, scorecards, and methodologies for agent reliability and performance.
* Build data -driven evaluation pipelines using synthetic and real-world datasets.
* Identify and analyze failure modes, edge cases, and non-deterministic behaviors.
* Improve agent robustness, consistency, and reliability in production environments.
* Work with tools such as Google ADK, Opik, and related evaluation frameworks.
* Collaborate closely with AI, platform, and database teams to shape agent- data interaction quality.

we are an innovative, data -oriented, high-tech company that owns, develops, and publishes multi-platform digital Assets. All our products and content coordinate together to create unique monetization solutions and advanced revenue streams for digital properties. We are expanding our teams and are focused on adding like-minded, result-oriented, and high-achieving talents.
Impact and Responsibilities
* Design, implement, and maintain scalable, secure, and reliable cloud infrastructure on AWS (3+ years of experience required) and GCP (preferred).
* Build and maintain CI/CD pipelines to automate application deployment and infrastructure updates.
* Demonstrate hands-on experience using Generative AI tools (e.g., GitHub Copilot, ChatGPT, Cursor, or similar) to accelerate scripting, infrastructure automation, CI/CD configuration, and operational troubleshooting.
* Automate infrastructure provisioning and management using Infrastructure-as-Code (IaC) tools, with Terraform experience being a must.
* Automate infrastructure provisioning and management with Ansible experience being a must.
* Collaborate with development teams to optimize application performance and reliability.
* Troubleshoot and resolve system, application, and network issues to ensure high availability and reliability.
* Ensure the compliance of our infrastructure with security best practices and standards.
* Leverage advanced networking and proxy configuration expertise to design robust and secure systems.
* Continuously research, evaluate, and implement new technologies to enhance infrastructure efficiency and cost-effectiveness.

we are a global leader in space based intelligence solutions, serving for over 20 years as a trusted partner to some of the worlds most demanding defense and intelligence organizations. The company delivers high quality, mission critical capabilities tailored to address complex, strategic, and highly sensitive intelligence challenges. As part of its continued growth, ISI is seeking a talented Algorithm team leader to join the Algorithm Development Group and lead cutting edge AI and Computer Vision initiatives that transform advanced research into operational impact. This position combines technological leadership, research direction, and end to end implementation in a production oriented environment.
Responsibilities:

* Professional and managerial leadership of an AI algorithm team
* Development, training, and optimization of Deep Learning models for computer vision tasks
* Hands on work with advanced detection and segmentation architectures, including YOLO
* Research and implementation of VLM and LLM in multimodal contexts
* Designing research workflows, experimentation frameworks, validation processes, and performance improvements
* Mentoring and guiding junior team members and supporting their professional growth
* Close collaboration with software, product, and hardware teams
Advantages:

* Experience working with GIS systems and geospatial data
* Experience implementing algorithms on hardware or working closely with hardware teams
* Experience optimizing models for real time systems or resource constrained environments
* Experience transferring models from research environments to production

ISI is seeking a highly skilled, experienced, and motivated Satellite Systems Engineer to join a cutting-edge satellite program. If you are passionate about space technology, innovation, and tackling complex engineering challenges, we would love to hear from you! As a member of our fast-paced team, you will have the unique opportunity to shape the development of future products for a leading space-based intelligence company.


Responsibilities:

* Lead the design, development, and implementation of a satellite system, encompassing electro-optical payloads, communication systems, and computerized systems
* Collaborate with cross-functional teams, subcontractors, and customers, to define system requirements, specifications, and architectures for satellite projects
* Conduct detailed system analysis and simulations to optimize system performance, reliability, and efficiency
*  Manage and oversee the integration, testing, and validation of satellite systems to ensure compliance with design specifications and mission requirements
*  Lead technical reviews, risk assessments, and troubleshooting activities to identify and resolve system-level issues

Advantages:

* Master's in Systems Engineering.
* Experience with orbital mechanics, satellite constellations, or distributed space systems.
* Experience with system simulation tools and software (e.g., STK, GMAT, Matlab, Simulink)
* Familiarity with regulatory and compliance standards related to satellite operations and space systems

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.

We are looking for a Junior Fullstack Engineer who is excited about building real product features end-to-end and eager to grow in modern web development within our flagship platform.

This is not an internship, were looking for someone with solid foundations in TypeScript, Node.js, and ReactJS, who is motivated to deepen their skills in production-grade systems.

Youll work alongside experienced engineers to design and build features across the stack, from UI and API design, through data modeling, to performance and reliability improvements.

Location: Kfar Saba, Israel.

Reporting to: Full Stack Squad Lead.

Employment Type: Full-time Position.

Roles and Responsibilities
Develop and maintain frontend components using ReactJS.
Build backend services and APIs using Node.js + TypeScript.
Work with MongoDB for data modeling, queries, and performance improvements.
Integrate frontend and backend flows end-to-end (auth, data fetching, state management, etc.).
Implement modules from technical design to delivery including error handling, logging, and monitoring.
Contribute to code quality: clean code, reviews, refactoring, and testing.
Support performance improvements across the UI and API layers.
Collaborate with Product and Engineering teams to deliver user-facing features.

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 in our company 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.

We are seeking for an Electromechanical Quality Controller. This role requires electrical and visual inspection of complex units (LRU/SRU) in-process inspections, final inspection before delivery to the customer. Monitoring and investigating incidents and leading improvement processes. In addition, performing and testing the first item according to standard: 9100AS. Reviewing documentation and checking documents as well as initiating activity to approve exceptions and monitoring performance.

We are looking for an Engineering Platform Manager to lead one of our core engineering teams and drive the evolution of our container security platform at scale.

This is a high-impact leadership role combining people management, technical ownership, and strategic influence. You will lead a team building mission-critical systems, shaping both architecture and engineering culture, while working closely with Product, Security, and Platform teams.

In this role, you will also help drive the adoption of AI-driven systems and workflows, enabling smarter, more scalable, and more efficient engineering and customer-facing solutions.

If you are a hands-on leader who thrives in complex, high-scale environments and knows how to build strong teams and scalable systems - this role is for you.

What You Will Own?
Lead, mentor, and grow a team of engineers, fostering a culture of ownership, accountability, and technical excellence.
Own end-to-end delivery of core platform components - from design to production and long-term scalability.
Drive development of cloud-native microservices in large-scale production environments.
Lead architecture discussions, design reviews, and code quality standards.
Help define and design AI-driven solutions, workflows, and systems tailored to customer and product needs.
Design and implement internal tools and automation, including AI-powered workflows, to improve scalability and reduce manual work.
Partner closely with Product, Security, and cross-functional teams to align execution with business goals.
Step into strategic or complex customer engagements when needed and help drive them to success.
Drive data-driven decision making, continuous improvement, and innovation across the team.
Lead Agile execution, planning, and predictable delivery across the SDLC.
Improve performance, scalability, reliability, and observability across the platform.
Contribute to long-term engineering strategy and roadmap.
Stay hands-on when needed - guiding design, debugging, and system optimization.

The right candidate is an avid learner, an advocate for customers, and a collaborative teammate. The main responsibility of a Support Engineer is to help users solve technical challenges and use us to make impactful product decisions. Weve had team members focus on developing their technical skills to join the product and engineering teams, hone their customer-facing skills to become customer success managers or sales engineers, and take on leadership roles in the Support organization.

Responsibilities

The core responsibility of a Support Engineer is to support our customers at every turn in the company`s journey by providing answers to product questions, sharing best practices, and debugging technical issues. You'll also develop your technical skills, collaborate with our Product team to improve our product, learn product analytics, and mentor new team members.

Become a product expert - you will help users understand our reports and features, help them use our APIs and SDKs, share best practices, and resolve account issues.
Respond to customer inquiries via Zendesk email, chat, Slack, and phone calls.
Investigate and document bugs and feature requests to share with our Product and Engineering teams.
Provide feedback regarding internal support processes, product functionality, and customer education resources to improve the customer experience.
Shape the product by regularly working closely with PMs, engineers, and designers to incorporate customer learnings into change.

We are an event analytics platform for builders who need answers from their data at their fingertips. When everyone in the organization can see - and learn from - the impact of their work, they are poised to make better decisions. As a Sales Engineer, you are critical in presenting the value of our capabilities to a broad set of prospects. As we continue to grow our Sales organization, you'll be collaborating with Account Executives, Account Managers, and the Country Manager as a trusted advisor to customers, working to tie our solutions to their business needs. Our SEs need to be nimble, able to clearly articulate the technical benefits and requirements of our to developers and product managers, and express the value of our product to high-level executives.
In the first month, you will become our expert on both features and functionality, as well as implementation. You will be given the opportunity to shadow customer calls and demos with current Sales Engineers and Account Executives while learning how to articulate our value proposition. You will be trained on our internal systems and tools in order to be set up for success.
Within the first three months, you will be directly involved in deal cycles with Account Executives. You will lead the technical qualification for customers use cases and deliver customized demos for prospects. You will have a clear understanding of how we are implemented across all platforms and be able to guide customers toward the right solution for their needs. The SE will be critical in setting expectations for successful implementations and preparing both internal and external teams for long-term success.

Responsibilities:
Serve as a trusted technical advisor for prospects to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes.
Effectively communicate and consult at all levels of the customers organization to earn customers' trust and ultimately influence buying decisions.
Bridge the technical-business gap with your prospect - working with high-level business stakeholders to define success for proof of concepts and successfully execute and achieve those outcomes.
Utilize your knowledge and technical and consultative skills to impart best practices throughout proof of concept projects.
Partner with Account Executives to drive revenue growth by serving as the key technical contact for the customer.
Partner with post-sales teams to ensure the articulated pre-sales value proposition translates into tangible post-sales value.
Complete RFPs and Security Questionnaires.
Work cross-functionally with different organizations such as Sales, Marketing, Customer Success, Product, Engineering, and Legal.
Actively utilize Salesforce to track deal activity and customer requirements.
Be the Voice of the Prospect by collecting feedback from our potential customers and delivering it to the Product team.
Partner with Account Executives to drive revenue growth by serving as the key technical contact for the customer.