דרושים » הנדסה » AI Solution Manager

We are looking for a Director of Tech Strategy Labs to lead a group of architects to investigate and implement next-generation technologies, focusing on AI-native development, AI security, and enterprise SDLC, challenge existing solutions and standards, and harness your technology acumen to influence business strategy, innovation, and product roadmaps critical to the future of the Platform.
As a Director of Tech Strategy Labs, your work will influence thousands of companies using the Platform to drive their software release pipeline to create better value.
As a Director of Tech Strategy Labs at the CTO Office, you will...
Directly manage the CTO Office architects
Manage selected software development projects end-to-end with the highest quality
Explore, evaluate, and prototype new and differentiating products and capabilities enabled through emerging technologies, leading techniques, and contemporary patterns to create our next world-class solutions and experiences
Help identify research opportunities and drive innovation, coming from understanding our vision, the problems we are set to solve, the pain of our customers, the voice of market analysts and partners
Partner with community working groups and initiatives, such as those led under the CNCF
Maintain a deep understanding of the architecture of new and existing solutions under the Platform and how they interoperate
Work closely with the CTO, Product, Developers, Sales Engineers, Security, and Business Strategy teams to achieve common goals
Challenge existing architecture and solutions to improve customer experience, increase efficiency, reduce risk, increase resiliency, and improve performance
Provide technical leadership by synthesizing and communicating complex information being researched, and advance the topics mentioned above
Advocate clean code and clean architecture principles, and ensure documentation with proper technical specifications.

As a Backend Engineer at Teads, you won't just be writing code; you will be solving complex technical puzzles at a massive scale. We operate in a very high-traffic environment.
You will tackle challenges involving big data, predictive AI, and high-performance architecture. within a systems that handle 2.2 billion users per month and process 100 billion events per day.
Team Overview
The Display SSP team is vital to Teads' monetization, managing the high-scale, low latency infrastructure for real-time native and display ad auctions. This core team connects publisher inventory with various demand sources - Teads' DSP, programmatic exchanges, and third parties - while ensuring supply quality and supporting multi-format ads within an expanding ecosystem.
About the Opportunity
We are seeking a talented Senior Backend Engineer to join the team responsible for one of Teads' most critical, revenue-driving platforms.
In this role, you will design and optimize the real-time auction logic that determines how publisher inventory is monetized, working on systems that process billions of ad requests daily.
You will have a direct impact on the platform's success by building scalable demand integrations, improving auction efficiency, and ensuring supply quality.
What will you do?
As a Senior Backend Engineer your mission will be to:
Collaborate with software engineers, data scientists and dev ops to research, develop, and deploy experiments, features and enhancements with a high impact on our serving infrastructure.
Create, design, develop, test, and monitor your code in production autonomously and reliably.
Work with the Engineering Manager, Product Manager and other teams to frame projects and be accountable for their execution.
Obtain a good understanding of the business to provide relevant solutions to clients.
Be a work facilitator and help communication inside and outside Teads.
Stay up-to-date on new technologies and architectures. If they can solve a problem Teads has, propose ways to implement them into our current software engineering process.

We are looking for a Cloud Platform Engineer / DevOps Engineer to join a team of passionate engineers who build premium solutions at scale.
Every day, we tackle ambiguous and stimulating challenges.
Join a team of passionate people who build quality and responsible advertising, at scale!
Our Infrastructure Team
Running on major cloud providers (namely AWS, Azure, and GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally.
What will you do?
As part of the Cloud Foundation team, youll be architect of our core infrastructure, with a primary focus on global networking and automated provisioning.
Youll bridge the gap between our public clouds (AWS, Azure) and on-premise data centers by building the high-performance connectivity and Infrastructure as Code pipelines that tie them together. Your work will ensure that our network is not only secure and resilient but also invisible to the feature teams who rely on your automated workflows to spin up environments at scale. Youll thrive on solving complex routing challenges and streamlining the lifecycle of our resources, always striving for maximum efficiency and speed. Through constant collaboration and knowledge sharing, youll help us evolve a rock-solid foundation that scales as fast as our ambitions.

DRS RADA is a leading defense high-tech company specializing in radar systems development. We are seeking a talented AI Engineer to join our AI group and take part in the research and development of new AI-based capabilities and products. In this role, you will work on a wide range of AI challenges, from early-stage exploration and development to supporting the integration of solutions into operational systems. This role includes working with different radar data modalities and offers an opportunity to contribute to meaningful, cutting-edge technologies in a multidisciplinary environment. Key Responsibilities: · Research, develop, and evaluate AI models and algorithms for new product capabilities. · Explore new ideas and transform them into practical AI-based solutions. · Analyze complex time-series data and extract insights to support model development and product decisions. · Work closely with AI and software engineers within the team and take responsibility to bring new solutions into operational systems. · Develop clean, efficient, and maintainable Python code for model development and experimentation. · Stay updated with industry trends, research methods, and emerging technologies in AI and data science.

We are seeking an experienced, hands-on Senior AI Engineer to join the Generative AI applications Platform group and lead the backend implementation and architecture of AI/LLM solutions - from agent graphs and tooling to RAG, streaming, and production deployment.
As a Senior ML Engineer you will
Design and own agent architectures - Build and evolve graph-based agent workflows (multi-node LLM flows, tool execution, routing, human-in-the-loop review gates) using LangGraph, with clear state schemas, checkpointing, and streaming to production.
Turn product and user needs into backend AI - Work with Engineers, Product, and Analysts to translate business problems into technical requirements and implementations, including agent types, tools, RAG pipelines, and configuration-driven behavior.
Design, develop, and deploy GenAI capabilities end-to-end - LangChain tools and integrations, RAG (retrievers, vector stores, agentic flows), structured outputs, and APIs for chat, Copilot-style integrations, and MCP.
Raise the bar on quality and reliability - Establish patterns for observability (e.g., LangSmith), error handling, content safety, bounded autonomy (tool schemas, review workflows), and evaluation systems so that AI behavior is predictable and auditable.
Mentor and align the team - Provide technical guidance on LLM backend architecture and LangGraph/LangChain best practices so the team can iterate quickly and safely.

Our main Engineering challenges at our company
Build efficient and easy-to-use web products used by thousands of users working for the worlds most premium publishers, advertisers, and agencies.
Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others.
Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
Bring a wide diversity of profiles to the same level of quality and knowledge
Work in an international environment with offices located in Israel, Slovenia and France.
Build the Core Platforms That serves hundreds Engineers
Our global Managed Platform team is hiring, and we're looking for a Senior DevOps Engineer to help us tame complexity at scale. We are a distributed group, with team members in the US, France, Russia, Slovenia, and Israel, operating as the central nervous system for engineering.
We build, own, and manage the "as-a-service" platforms that all our developers rely on. This includes our entire observability stack, our massive online data storage systems, and the SRE tools and practices that keep our services reliable.
We operate a complex, high-traffic environment built on Kubernetes and managed via GitOps (ArgoCD & FluxCD). If you love building robust, automated, and self-service systems for other engineers, this is the role for you.
What will you do?
As a Senior DevOps Engineer, you will:
Own Core Data Platforms: Design, manage, and scale our diverse portfolio of datastores, including Cassandra, RDS/Aurora, Redis, Elasticsearch, and more.
Evolve Observability: Champion and advance our observability stack (Prometheus/Thanos, Grafana & ELK) to provide critical, real-time insights for hundreds of services.
Strengthen Reliability (SRE): Drive SRE best practices, including automating disaster recovery drills, managing our alerting strategy (AlertC), and improving system-wide resilience.
Modernize CI/CD: Help administer and optimize our CI/CD infrastructure, which includes Jenkins, Teamcity, and GitHub Actions.
Automate Everything: Leverage our Kubernetes and GitOps (ArgoCD/Flux) foundation to manage infrastructure as code, enhance developer self-service, and eliminate toil.
Collaborate & Consult: Act as a subject matter expert, partnering with development teams to help them choose, implement, and operate their data and observability solutions effectively.

We are seeking a visionary leader with the right technical depth and passion for engineering excellence, to revolutionize the Developer Experience. Across hundreds of engineers, diverse technological ecosystems, and a global presence, the impact is huge!
As a Senior Director of Engineering you will...
Define a multi-year strategy, leveraging the latest advancements in AI to deliver unprecedented developer satisfaction and velocity.
Define, implement, and evangelize the methodology for measuring developer productivity. Use data to identify bottlenecks and prove the ROI of your initiatives.
Introduce and rapidly implement cutting-edge AI-based solutions and agents to enhance developer creativity, reduce toil, and accelerate the coding process.
Lead and grow the team focused on building the essential in-house tools and infrastructure that form the backbone of our development lifecycle.
Build capabilities that will empower developers to easily spin up production-like or sandbox environments, at scale and with the proper guardrails.
Own the complete lifecycle for all third-party developer and engineering tools - from needs assessment and vendor selection to purchasing, implementation, and integration across the engineering organization.

Were looking for a Developer Advocate who can help bring our platform, innovations, and community impact to the next level.
This role sits at the intersection of engineering, product, and the global developer community. Youll translate our technical work across all domains, repositories, security, release management, pipelines, distribution, metadata, AI/ML, and ecosystem integrations, into content, demos, talks, and conversations that developers trust. Youll also bring community insights back into our R&D and business teams to influence product direction.
As a Developer Advocate you will:
Represent us across developer, DevOps, security, and platform-engineering communities through conferences, meetups, webinars, podcasts, and online conversations
Create high-quality technical content: deep-dive articles, demos, hands-on guides, screencasts, code samples, and social content
Build compelling demos and storytelling around our core domains: Artifactory, Xray, Curation, Distribution, Pipelines, Workers, Fly, AI/MCP, and ecosystem integrations like GitHub
Collaborate closely with R&D, Product, Security, Solutions Engineering, Architecture, and Customer Success to deeply understand new capabilities and provide practical feedback
Engage with open source and developer communities, finding new channels and conversations where we should have a voice
Partner with Marketing to strengthen messaging while preserving technical credibility
Monitor and report impact across community engagement, content performance, OSS participation, and broader DevRel KPIs

Were hiring a Director of Engineering to lead our agentic capabilities across the platform, including the AI Assistant, MCP Server, and a rapidly expanding ecosystem of autonomous workflows. This is a high-impact role shaping how developers and organizations build, secure, and deliver software-through enterprise-grade AI that can take action, operate safely, and scale across SaaS and self-hosted environments.
As a Director of Engineering, you will...
Lead the engineering group delivering AI capabilities across the platform, powering customer-facing agentic experiences at scale
Shape the vision and drive the execution for AI Assistant, MCP Server, and platform-wide agent workflows
Ship enterprise-grade AI-secure, reliable, and observable-running in SaaS and self-hosted environments
Define the quality bar for AI delivery, including evaluation, safety guardrails, and continuous improvement loops
Stay ahead of LLMs, AI agents, and DevOps automation trends, translating innovation into platform differentiation
Build and mentor high-performing teams and a culture of execution, automation, and continuous improvement
Partner with Product, Security, and engineering leaders to drive adoption and make measurable customer impact.

We're looking for a passionate and innovative Software Engineer to join our FastCI team - the force behind our AI-powered CI/CD optimization platform. You'll help build a product that automatically detects CI pipeline bottlenecks, generates actionable insights, and leverages AI agents to deliver fixes. FastCI turns CI maintenance from a reactive chore into a self-healing, intelligent system. This is a rare opportunity to work at the intersection of developer tooling, observability, and applied AI, shipping technology that impacts millions of builds every day.
As a Software Engineer, you will
Embrace an agile, entrepreneurial environment with the strategic advantage of selling to Fortune 500 companies
Develop advanced system-level performance tools for optimizing critical software processes
Design and implement intelligent engines that enhance development commands and workflows
Architect high-performance caching strategies to maximize efficiency across development cycles
Create seamless integrations with widely-used developer tools and platforms
Build scalable, multi-language solutions supporting diverse technology stacks.