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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

As the QA Team Lead, you will play a pivotal role in ensuring the quality and reliability of our groundbreaking maritime technology. You'll lead a talented QA team, define testing strategies, and implement automation frameworks to uphold the highest standards across our products. Working closely with software and product teams, you will take ownership of the testing lifecycle, drive quality initiatives, and ensure seamless delivery in a fast-paced, innovative environment.

What You'll Do
Lead QA Strategy & Execution: Design and implement comprehensive testing procedures, quality metrics, and test strategies to maintain product excellence.
Automation Leadership: Architect and lead the development of test automation frameworks and tools to streamline testing processes.
Team Management: Mentor and manage a skilled QA team, fostering collaboration with software and product teams to deliver high-quality solutions.
Quality Ownership: Take full ownership of product quality, proactively identifying, tracking, and resolving quality issues and escalations.
Process Optimization: Establish and enforce QA standards and best practices, ensuring thorough coverage of front-end, back-end, and integrated system testing.
Communication & Reporting: Monitor and report on quality metrics, ensuring clear communication of testing progress, risks, and outcomes.

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.

We are looking for an experienced MCP (Model Context Protocol) Software Engineer to design, develop, and optimize Model Context Protocol implementations. You'll work on building robust MCP servers, client integrations, and tools that allow AI systems to securely access and interact with various data sources and services.

What You'll Do:

MCP Development & Implementation
Design and develop MCP servers for various data sources (databases, APIs, file systems, cloud services).
Build and maintain MCP client integrations for AI applications and platforms.
Implement secure authentication and authorization mechanisms for MCP connections.
Develop custom MCP tools and resources to extend AI capabilities.

Architecture & Design
Architect scalable MCP solutions that handle high-volume data access patterns.
Design efficient protocol implementations that minimize latency and maximize throughput.
Create reusable MCP components and libraries for internal and external use.
Establish best practices for MCP server development and deployment.

Integration & Collaboration
Integrate to our identity platform.
Work with DevOps teams to deploy and monitor MCP services in production environments.
Partner with security teams to ensure MCP implementations meet compliance and security requirements.
Integrate MCP solutions with existing infrastructure and third-party services.

Quality & Performance
Write comprehensive tests for MCP implementations including unit, integration, and end-to-end tests.
Monitor and optimize MCP server performance and resource utilization.
Debug complex issues in distributed MCP environments.
Maintain detailed documentation for MCP servers and integration patterns.

Contribute to Open Source
Engage with the open-source community, contributing to the development and improvement of MCP.

Where You'll Be: Tel Aviv | Full-time, hybrid.

We are looking for an exceptional Software Engineer to help us with our mission to ease the Authentication burden for every developer out there.
You should be able to build high-quality, innovative and fully performing software in compliance with coding standards and technical design. The position will have significantly more Frontend work than Backend.

What You'll Do:
Build high-quality, innovative and fully performing software in compliance with coding standards and technical design.
Take on significant Frontend work while contributing across the full stack.
Contribute to architectural and technological decisions.
Work closely with developers, engineers and designers.

Where You'll Be: Tel Aviv | Full-time, hybrid.

We're looking for an outstanding Web Developer to own the frontend experience of our no-code Authentication solution - shipping web components that developers drop straight into their apps.
You'll work closely with developers, engineers, and designers, and while backend work is on the table, your playground is the frontend.

What You'll Do:
Build and maintain web components for our no-code platform.
Write clean, testable, and efficient code using best practices (yes, we actually mean it).
Contribute to architectural and technological decisions- your opinion matters here.
Conduct design and code reviews.
Work daily with TypeScript, React, and CSS.

We're looking for a Tech Lead Engineer to drive the technical strategy for our cross-platform endpoint agent - built in C#/.NET and hardened for production across macOS, Windows, and Linux. You'll own features end to end across a managed fleet of enterprise devices, stay hands-on writing code, and raise the technical bar for a distributed engineering team. This role also means setting the standard for how the team uses AI coding agents responsibly - fast, but production-grade.

What Youll Do
Responsibilities:
Drive the technical strategy for our cross-platform endpoint agent, focusing on C#/.NET core logic while ensuring production readiness across macOS, Windows, and Linux.
Provide technical leadership to a distributed team of engineers, raising technical expertise and engineering practices across the organization.
Own features from discovery to delivery, solving complex domain problems across a managed fleet of enterprise devices.
Maintain a hands-on approach by writing code and mentoring engineers to elevate the organization's technical capabilities.
Architect the agent using C# and platform-specific extensions, ensuring performant integration with each operating system's security frameworks.
Own high-impact technical decisions that balance velocity, security, and reliability.
Deliver maintainable features supported by comprehensive testing, metrics, and monitoring.
Shape the agent roadmap and ensure resilient production systems in collaboration with cross-functional leadership.
Participate in design and code reviews to maintain high engineering standards.
Champion AI-assisted engineering across the team - set the bar for how coding agents accelerate delivery, and establish the practices and guardrails that keep output production-grade.

looking for a Software Architect to lead the technical evolution of our next-generation AI cybersecurity platform. You'll work across teams to solve the company's most challenging architectural problems while remaining deeply hands-on - building prototypes, validating new technologies, and helping engineering teams deliver production-ready solutions. The role requires both deep engineering expertise and the ability to shape the architecture of large-scale data, cloud, and AI systems that power our platform.

What Youll Do
Responsibilities:
Partner with engineering teams to solve complex architectural and technical challenges, leading the design of scalable, secure, and maintainable systems.
Build and validate proofs of concept (PoCs) to evaluate new architectures, data platforms, AI capabilities, and emerging technologies.
Drive technical direction across engineering, product, and data science, turning new technologies into production-ready solutions.
Lead architecture and design reviews, ensuring scalability, reliability, security, and operational excellence.
Mentor engineers through hands-on collaboration, code reviews, and system design discussions while promoting AI-native engineering practices.

We're looking for a Senior Software Engineer to join our engineering team and take real ownership of features that deliver value at enterprise scale. In this role, you'll build security solutions for GenAI and Copilots, design scalable Big Data pipelines using cutting-edge technologies, and be part of a team that thinks creatively about complex problems and delivers real technological innovation.

This is a role for engineers who like to own things end-to-end from designing a solution to delivering value while working closely with the team through open discussions, design reviews, and code reviews.

What Youll Do
Responsibilities:
Assume ownership of features and deliver value to customers.
Design scalable Big Data pipelines using cutting-edge technologies.
Deliver high-quality engineering applying common engineering principals.
Work on building GenAI & Copilots security solutions.
Think creatively about complex problems and deliver technological Innovation.
Collaborate with others via open discussions, Design Reviews and Code Reviews.

The CTO Office is our core discovery engine, dedicated to navigating the rapid evolution in AI agent security and building the lighthouse. We are a high-agency team of ICs with integrated Engineering, Research, and Product mindsets. Our mission: incubate new ideas, define the approach to emerging attack classes, and build working POCs that prove technical reality. Guided by the CTO, Product, and GTM, we validate hard, open problems and actively support the Product organization by opening new development paths and seamlessly handing over advanced capabilities.

What Youll Do
Responsibilities:
Take a hard, open problem in AI agent security from this might be possible to a working POC that proves the company`s approach, grounded in technical reality.
Partner closely with Product, R&D, our Labs, and GTM. Dont just write about emerging problems. Think them through, design the solution, and POC it so customers see something real.
Own the end-to-end loop: scope the problem, build the prototype, evaluate it, document the approach, ship it.
Make the calls on architecture, tooling, and tradeoffs.
When a POC succeeds, own the handover to Engineering and Product. When a new direction needs its own team, lead the incubation.
Stay ahead of the rapid evolution in AI and proactively identify emerging trends.

We are looking for a Lead Software Engineer - Innovation Team to join our growing our new engineering innovation team who build our new product offering with our clients!
Engage is' newest product line - a small, fast-moving team operating like a startup inside the company. While ' core offering helps customers acquire better users and spend less doing it, Engage turns that intelligence inward: re-activating churned, dormant, and low-value users who are already on our customers' platforms. As a Senior Software Engineer, you'll work directly alongside the team's engineering lead, building the systems that take machine-learning predictions about user behavior and turn them into automated, continuously-learning decisions delivered straight into our customers' DB and CRM tools. This is a role with no narrow lane - you'll touch literally everything: data pipelines, ML and algorithms, applicative backend services, and even the UI. You'll partner closely with a VP Product and senior data scientists in a high-ownership environment where you shape the architecture, ship to production, and see your work drive a brand-new revenue stream for the company.