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We are looking for highly motivated engineers who love the challenges and the opportunity of a small company. Join us and be a part of a small and dynamic team, which revolutionizes the parallel processor architecture.

Were a startup, post-seed investment - backed by top-tier investors, building powerful tech for some of the worlds most interesting clients.

This is your opportunity to join a top-notch tech solution and have true ownership over something with a massive impact.



You Will

Design, build, and maintain features - end to end
Architect scalable, modern, cloud-native flows
Own web services from design to deployment and monitoring
Collaborate in fast-paced, daily brainstorming with a technical founding team
Our Tech stack spans multi-language, cutting-edge infrastructure and cloud-native systems - all built by a fast-moving team that runs lean and thinks sharp.

we are on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, we are recognized as the leading transportation technology and service provider globally.
As a Front-End Engineer at our company, you'll be an integral part of one of our engineering teams. You will build the technology powering our companys Operation Center - the real-time heartbeat of our global service. This is a rare opportunity to own mission-critical systems that shape the daily lives of hundreds of thousands of riders. You will have frontend ownership, working with a sophisticated stack and a team that values high-quality craft. We are looking for a high-agency engineer who leverages modern AI to outpace traditional workflows and is ready to grow into a formal leadership role
About the Role:
Design and implement user-facing features using React and TypeScript for our companys Operation Center.
Own the frontend architecture for new components and workflows, ensuring clean, scalable, and maintainable code.
Accelerate development by leveraging modern AI coding tools to optimize your workflow and output.
Collaborate cross-functionally with product managers, designers, and engineers to deliver end-to-end features
Step into leadership by mentoring peers, driving technical decisions, and shaping front-end best practices.

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
We are looking for an experienced Senior Algorithms Developer to join our team and help design, build, and scale the systems that power our products. In this role, you will work on high-impact projects that combine cutting-edge technology, complex distributed systems, and challenging algorithmic problems in transportation, routing, and navigation. You will have the opportunity to own features end-to-end, make key technical decisions, and shape the architecture and reliability of large-scale systems.
What Youll Do:
Architect, build, and scale robust, high-performance systems from initial design through deployment to production.
Own features end-to-end, from concept through development, testing, deployment, and maintenance, with strong accountability.
Develop features and APIs for concurrent applications in Golang.
Implement and improve geometric and graph algorithms to support core product
functionality.
Maintain Python and Java server applications, ensuring reliability and stability.
Write production-grade code that is efficient, reliable, maintainable, and optimized for performance.
Optimize application performance, uptime, and scalability, while maintaining high standards of code quality and thoughtful application design.
Run benchmarks and write analysis scripts for geographical data.

Our team is looking for a Senior Backend Developer with a passion for solving complex scaling problems with a good understanding of efficient, forward-looking system design. Our desired candidate has a can-do attitude that will inspire and help us build rocket ships. om scratch'

What You'll Do


Shape the Core - Design, build, and scale the companys infrastructure at the heart of our product.
Raise the Bar - Continuously refine system architecture, set high technical standards, and push for engineering excellence.
Collaborate Across the Board - Work hand-in-hand with R&D, product, and other teams to deliver powerful cross-platform features.
Engineer for Scale - Architect and build features that thrive in the AI era.
Be a Force Multiplier - Drive improvements in our development processes, tools, and frameworks, so the whole team can move faster and smarter.

Were looking for a Support Engineer to join our team and help support our global B2B SaaS customers. This is a hands-on technical support role for someone early in their career who is eager to learn, debug real customer issues, and work closely with Product and Engineering.

Because we support customers across multiple regions and time zones, this role may include shift-based work to ensure strong global coverage.

Youll be a great fit if you enjoy troubleshooting, communicating clearly with customers, and digging into technical issues until you understand what is happening.



What You'll Do
Own and resolve customer support tickets across technical and product-related issues.
Investigate bugs, configuration problems, integration issues, API behavior, and unexpected product behavior.
Reproduce issues, gather logs and evidence, and escalate clearly to Engineering when needed.
Use tools such as Zendesk, Jira, Datadog, Postman, SQL, and internal systems to investigate customer issues.
Support integrations, APIs, data flows, and security/compliance-related product areas.
Write clear customer-facing responses that are accurate, calm, and helpful.
Partner with Product and Engineering to identify recurring pain points and improve the product.
Create and maintain internal troubleshooting guides, macros, and customer-facing knowledge base articles.
Help improve support processes, ticket quality, triage, and escalation paths.
Represent the voice of the customer in product discussions.

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As a Senior Full Stack Engineer, you will build the technology powering our companys Operation Center - the real-time heartbeat of our global service. This is a rare opportunity to own mission-critical systems that shape the daily lives of hundreds of thousands of riders. You will have full-stack ownership, working with a sophisticated stack and a team that values high-quality craft. We are looking for a high-agency engineer who leverages modern AI to outpace traditional workflows and is ready to grow into a formal leadership role.
About the Role:
End-to-End Ownership: Lead the development of our companys real-time operation center, managing complex routing, driver dispatching, and mass-scale user communication.
Full-Stack Architecture: Architect and ship features across our stack (React/TypeScript/Redux and Python microservices) with an emphasis on performance and scalability.
AI-Augmented Development: Integrate AI-driven tools (Copilot, Cursor, LLM-based testing/refactoring) into your daily workflow to increase velocity and maintain elite code quality.
Future Leadership: Mentor junior/mid-level engineers, drive technical roadmaps, and set the standard for engineering excellence within the team.
Strategic Collaboration: Work directly with Product and Design to translate ambiguous operational challenges into elegant, scalable technical solutions.

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As a Senior Platform Engineer at our company, youll join our R&D center in TLV. Youll be part of a team of developers and devops engineers, directly contributing to our product by using cutting-edge technologies. Youll take a critical part in our mission to shape the future of transportation, affecting tens of thousands of riders daily worldwide.
The Platform Group is a cross-functional group dedicated to building and maintaining the robust foundation on which our company operates. This team is responsible for designing, implementing, and managing cloud infrastructure, Kubernetes clusters, CI/CD systems, and tools that empower our development and production environments.
With a focus on enhancing developer experience, operational efficiency, and reliability, the team drives initiatives that:
Design and implement scalable and secure cloud infrastructure.
Develop and maintain Kubernetes clusters and related tools, ensuring high availability and performance.
Manage edge gateways, WAF solutions, and other critical infrastructure components.
Define and enforce CI/CD standards to streamline development and delivery workflows
Build tools and automation to enhance productivity across engineering teams.
Ensure the reliability, security, and scalability of production infrastructure.
What Youll Do:
Define infrastructure standards for dev teams
Design, implement and develop tools for controlling infrastructure of micro services
Build CI/CD automation and templates with GitLab
Build, maintain and operate AWS and Kubernetes infrastructure
Develop and maintain an in-depth understanding of the applications and architecture at our company
Work in contact with other teams across the company to ensure smooth and documented changes to all environments
Identify and resolve problems in mission-critical services, automating remediation procedures to prevent recurrences
Bring ideas to the table, take ownership over their project timelines and deliverables and help us scale.

we are on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, we are recognized as the leading transportation technology and service provider globally.
As a Software & Data Engineer at our company, you will play a central role in building and evolving the data infrastructure that powers one of the world's leading transportation platforms. You'll work with rich, complex transportation data - from ride bookings and payments to real-time operational signals - designing the pipelines and systems that turn raw data into clean, reliable, and actionable insight across the business. This is a high-ownership role on a talented and deeply motivated engineering team in Tel Aviv, where your work will directly shape how our company understands and improves its service for cities and riders around the world.
About the Role:
Design and build highly scalable, reliable data pipelines that serve clean, structured data across our company's engineering, product, and business teams - ensuring the entire organisation can trust the data it works with
Own the architecture of complex data models that translate messy, real-world transportation data - bookings, payments, driver activity, and more - into systems that are fast, efficient, and built to scale
Lead end-to-end development across the full data lifecycle: from architecture and design through to deployment, monitoring, and continuous improvement
Proactively monitor data quality and reliability, identifying and resolving discrepancies before they reach stakeholders - building the kind of data infrastructure people can depend on
Collaborate with a broad forum of engineers, analysts, and business stakeholders to identify data needs, design POCs, and ship scalable solutions that make a real difference to how our company operates
Contribute to the adoption and evolution of our modern data stack, including DBT, Airflow, Iceberg storage, and AWS big data tooling such as Glue, EMR, and Athena.

We're hiring our Head of Research to own it.

We're not asking you to start from a blank page. We have an active research roadmap covering eight thematic areas - from self-improving evaluation infrastructure to agentic RAG to multimodality. We have ML/research talent on the team already. What we need is a leader who can take it the rest of the way.

Requirements
What you'll own:

Own the AI/ML core of the Mosaic platform - retrieval, agents, model routing, evals, and the research that improves all of them.
Set the research agenda. Decide what we investigate, what we measure, and what we ship.
Lead the research team directly (with hiring authority) and the AI analyst function indirectly.
Partner closely with engineering, product, and the CEO to turn research into production capability.
Define and own the quality bar for our AI outputs.

we are on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, we are recognized as the leading transportation technology and service provider globally.
As a Staff ML Engineer at our company, you will play a central role in shaping how millions of riders and drivers move through our cities every day. Our team sits at the intersection of machine learning, optimization, and real-world operations - turning complex, multi-dimensional challenges into the real-time intelligence that powers our company's mass-scale automated dispatch system. This is a rare opportunity to work on problems that are genuinely hard, at a scale that is genuinely rare, where the solutions you build have a direct and visible impact on the efficiency and reliability of transit networks around the world.
About the Role:
Own the development of ML models and optimization algorithms that drive our company's real-time dispatch system - making smart, scalable decisions across thousands of simultaneous rides, drivers, and operational constraints.
Design and implement online algorithms for real-time decision-making, balancing system utilization with a consistently high quality of service for riders - where every millisecond and every percentage point of efficiency matters.
Model and mathematically represent competing demands on our company's system, translating messy real-world operational complexity into elegant, tractable formulations that can be solved at scale.
Use sophisticated statistical methods to analyse demand patterns, traffic dynamics, and fleet performance - generating insights that directly inform algorithm development and operational strategy.
Collaborate closely with engineering, product, and operations teams to bring complex algorithmic work to life in production - owning the full journey from research and prototyping through to real-world deployment and iteration.

As a research student , you will work on one of the teams core challenges in modern LLM-based systems, such as:

Agentic RAG
Advanced retrieval strategies, hybrid search, query rewriting, context optimization, and LLM-driven reasoning pipelines
Automatic Evaluation of Agents
LLM-as-a-Judge, scoring frameworks, hallucination detection, and robust evaluation methodologies
Agents for Knowledge Creation
Building agents that autonomously generate, refine, and maintain enterprise knowledge bases
Ontology-Grounded RAG
Enhancing models with domain-specific knowledge and structured representations
Data Analysis Agents
Agents capable of analyzing complex operational, product, and support data at scale
Fine-tuning LLMs for customer domain adaptation
Automatic agent improvement from user feedback including learning from errors, evaluations, and human signals
You will work one day per week, embedded directly in the Ask-AI research group, collaborating closely with senior researchers and engineers.

We are looking for a passionate VP of Engineering to help build our breakthrough AI product. As a VP of Engineering at Mosaic- AI, you will steer the development of our cutting-edge AI Sidekick and technologies.

In this pivotal role, your primary responsibility is to lead, guide, and mentor a team of talented software developers. You will be actively involved in planning, designing, and executing multiple software development projects while utilizing your extensive knowledge of software development to provide technical guidance and support to your team.



What are we looking for:

Strong Technical and Management Background
Expertise in Key Technologies:
Architecture savvy- A must
Proficiency in Python, with a solid understanding of software development best practices in this language- an advantage
Knowledge and hands-on experience with JavaScript, Typescript, and React/Angular- An advantage
Knowledge in Docker, micro-service architecture, FastAPI, Express, and Terraform- An advantage

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.

We are seeking a Solution Engineer to join our Government Business Unit, based in Israel. In this high-impact role, you will bridge the gap between complex AI/data technologies and real-world intelligence operations. Working closely with the Sales team, you will serve as the technical authority during the pre-sales cycle for international and Israeli prospects, driving solution design, technical validation, and client engagement for defense and intelligence stakeholders.

The ideal candidate brings strong pre-sales experience, a deep technical background, and a proven background in intelligence or military operations (experience with the Israeli Navy or Defense/Intelligence agencies is a major advantage).

Key Responsibilities:
Lead the technical side of the sales cycle, translating complex customer needs into tailored, winning solution architectures.
Design, build, and deliver high-impact product demonstrations, technical trials, and Proof of Value (PoV) projects for key stakeholders.
Conduct discovery sessions to analyze client infrastructure, operational workflows, and domain-specific challenges.
Drive the technical responses for RFPs, RFIs, and complex defense tenders, working closely with internal R&D, Product, and Customer Success teams
Serve as a trusted advisor on Maritime Domain Awareness (MDA), API integrations, and hybrid SaaS deployments.
Provide client feedback and market requirements back to Product and R&D teams to shape the future of our platforms.