לוח משרות דרושים AI Engineer

We are looking for an enthusiastic Firmware/Embedded Software Engineer with a strong interest and coursework in computer vision and deep learning. This position offers an excellent opportunity to learn and grow by working closely with experienced engineers on the development of real-time automotive firmware targeting CPUs, DSPs, and dedicated hardware accelerators.
What will your job look like:
Design, develop, test, and optimize autonomous vehicle software components based on internal and external requirements.
Write highly optimized code for specific processors and hardware accelerators.
Leverage advanced ML/DL algorithms, computer vision, and sensor fusion techniques.
Analyze workloads, identify bottlenecks, and suggest improvements for performance enhancement.
Collaborate with algorithm developers to define and implement optimized data flows.
Integrate code into full system flows, testing on simulators and actual silicon.
Develop and utilize testing infrastructures to validate firmware performance.
Perform low-level optimizations and system analysis to ensure code efficiency in embedded automotive environments.

We are looking for a talented Senior AI Software Engineer to join our growing AI innovation team. In this role, you will pioneer intelligent systems that redefine how gaming technology integrates and scales. You will architect, build, and iterate on multi-agent AI frameworks that adapt to diverse gaming ecosystems and workflows.

This is a high-impact position where your work will directly shape the future of AI-driven automation in gamingempowering millions of players to not just watch, but play shared gaming experiences.

What You'll Do

Design, build, and iterate on cutting-edge AI agent systems tailored for complex integrations.
Architect multi-agent frameworks capable of understanding and interacting with diverse software architectures.
Collaborate closely with engineering teams to optimize AI-driven automation experiences.
Scale intelligent systems with performance, reliability, and adaptability in mind.
Mentor junior engineers, raising the bar for AI development practices.

What We Are Looking For As a GenAI Security team lead, you will lead a team of GenAI researchers, combining both strategic and hands-on, big-picture planning with direct technical contributions. Your primary responsibility will be managing a GenAI-focused team, while fostering a culture of innovation and excellence, providing comprehensive training, guidance, and leadership while ensuring high-quality deliverables. The position balances managerial responsibilities with hands-on technical work (approximately 25%) Key Responsibilities
* Recruit, mentor, and manage a team of GenAI researchers
* Regularly share knowledge with team members and collaborate across departments
* Evaluate and enhance team performance and deliverables quality
* Lead development of automated TEST harness, continuously evaluating prompts across multiple GenAI models to expose vulnerabilities and measure guardrail effectiveness.

A global leader in hybrid cloud security. We bring a new approach that uses the attackers perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems.
We are seeking a highly skilled and motivated backend Engineer with a Generative AI orientation to join our Infra team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities across our product line. This platform will handle cross-team concerns, such as prompt management, model access, data filtering, logging, and monitoring, centrally, so individual teams can focus on their own business-specific logic. As a backend Engineer with a Generative AI orientation, you will be instrumental in designing, developing, and implementing the core services of this foundational AI Platform. You will build components that enable our development teams to quickly innovate with AI while adhering to high standards for quality, cost-effectiveness, and compliance. Responsibilities:
* Develop and maintain a centralized microservice that handles all AI model interactions.
* Build shared services and libraries to maximize development speed and cost-efficiency for AI based features/systems across the company
* Setting the tone in the fields of automatic testing strategies and CI/CD for AI components, prompt management, and more.
* Define and enforce best practices for model governance, security, and compliance.

We are looking for passionate people who are about driving innovation at the intersection of automation, AI, and integration. Youll do more than just build solutions, youll be a key part of our Information Systems (IS) team, focusing on internal solutions that empower our organization from within. We offer a collaborative, global environment where continuous learning and personal growth are part of our culture. If youre ready to make a real impact and be at the forefront of technological advancement within our internal teams, wed love to have you on board!
What you'll do:
Lead Automation and AI Projects: Take ownership of implementing automation, AI, and integration solutions across the organization.
Support Existing Processes: Maintain and enhance current automated workflows and integration processes to ensure they remain efficient and effective.
Internal Client Requests: Act as the primary contact for internal stakeholders, gathering requirements and translating them into scalable automation and AI solutions.
Knowledge Sharing: Serve as a subject matter expert for the team and the organization in automation, AI, and integration domains, helping to educate and upskill colleagues.

We are looking for an AI Engineer with backend development experience to help design and scale our next-generation multi-agent systems.
This role requires strong deep understanding of how AI agents, LLMs, and protocols operate internally.
You will contribute to building a multi-agent platform and orchestration pipelines across GCP (Vertex AI, ADK, BigQuery, Cloud Run, Dataflow) and AWS, focusing on scalability, reliability, and evaluation.
What youll do
Multi-Agent Systems Work with MCP & A2A protocols, implement agent discovery, registries, orchestration engines, and evaluation frameworks.
LLM Operations Apply embeddings, prompting, retrieval (RAG), fine-tuning, and optimize agentLLM integration.
Backend Development Build microservices (Python/Go) on Cloud Run / agents engine / Kubernetes, design APIs, and support distributed execution.
CI/CD & Airflow Contribute to pipelines for agents and workflows, with monitoring, rollback, and governance.
Agent Evaluation Help define and run metrics for agent performance, safety, and lifecycle management.

We are looking for a Champion and operationalize AI‑assisted development across our global R&D organization. Your mandate is to help accelerate delivery by on boarding teams to effectively use AI tools during the development and testing, support the teams in building production level code and how to best leverage the AI coding agents to meet the production level standards.
How will you make an impact?
Upskill engineers  run concise workshops and pair‑programming sessions with developers and teams to help them become more proficient and productive in adopting AI coding tools for their SDLC
Prototype & demo reference AI agents that illustrate best‑practice patterns teams can reuse
Proactively suggest tools and processes to improve developer experience and productivity.

We are looking for a talented AI Solutions Engineer to join our innovative AI team. The team is developing cutting-edge AI applications including: Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) implementations, large scale AI Agents, MCPs, recommendation engines, classical AI models such as clustering, and more. You will have the opportunity to shape how AI transforms our products and internal processes worldwide. Your responsibilities will include implementing state-of-the-art AI technologies, developing all aspects of the project AI, code, data preparation, evaluation, and deployment. We are looking for a motivated teammate who thrives on solving complex problems with AI and continuously explores emerging techniques in this rapidly evolving field.

What you'll be doing:
Design and implement RAG systems to enhance knowledge retrieval across company resources.
End-to-end solutions Implementation to increase the organization quality and productivity.
Develop AI solutions that integrate seamlessly with existing products and workflows.
Build evaluation frameworks to measure and improve AI system performance.
Collaborate with cross-functional teams to identify and implement AI opportunities.
Collect and prepare data from multiple large scale sources for AI training and inference.

We develop innovative AI Agents (Agentic AI) that enable customers to operate, investigate, and analyze their environments intelligently and automatically through the platform. In addition, the team researches and develops new AI models to enhance user experience, optimize processes, and strengthen the cybersecurity capabilities of our products.

What You Will Do?

Design and develop Agentic AI systems, models, and an advanced infrastructure stack.
Build product components that integrate with internal systems, user experience, and advanced security features.
Research new technologies, libraries, and solutions in AI and Cyber domains.
Work in rapid sprints using Agile methodologies.
Collaborate with developers and product teams to improve processes and design system architecture.
Lead the adoption of advanced technologies and best practices in AI and Software Engineering.

seeking a sharp, execution-focused AI Optimization Specialist to lead the identification, design, and implementation of AI-driven efficiencies across all departments. This role will be instrumental in streamlining workflows, reducing costs, and improving productivity using modern AI tools and automation techniques. You will work closely with departmental leaders (Sales, Marketing, R&D, HR, Customer Success, Finance) to map processes, identify inefficiencies, and deploy scalable AI solutions.

What You Will Do
Conduct a full audit of internal operations, job roles, and workflows across the company.
Identify bottlenecks, inefficiencies, or repetitive/manual tasks that can be automated with AI.
Evaluate and implement AI tools (e.g., copilots, chatbots, workflow automation, NLP, generative AI, data analysis models).
Build and pilot internal AI use cases (e.g., automatic ticket triage, content generation, lead enrichment, meeting summarization, QA testing automation).
Collaborate with security and IT to ensure tools are secure and compliant with company standards.
Drive change management and onboard teams to AI-enhanced workflows.
Measure impact: cost savings, time-to-execution improvement, productivity gains.
Stay ahead of the curve with developments in AI tooling and assess new technologies continuously.

We are seeking an AI/ML Lead Engineer to join our R&D division and drive the adoption of advanced machine learning and AI solutions across our financial and operational domains. In this role, you will design and implement intelligent models that increase efficiency in collections and payments processing and build AI-driven tools that enhance call center performance and agent productivity.
We are looking for a hands-on, independent team player with strong foundations in data science, computer science, and backend engineering, combined with excellent analytical and algorithmic skills. This role is diverse and impactful, spanning machine learning development, data analysis, and backend engineering, with the opportunity to shape our AI/ML strategy for servicing and operations.
As part of the R&D group, you will work closely with engineers and product managers, leading and implementing AI/ML initiatives that directly align with our business goals and innovation vision.
Key Responsibilities:
Lead the design, development, and deployment of ML models to optimize collections and payments processing.
Develop and integrate AI-driven tools to improve call center efficiency and agent productivity.
Collaborate cross-functionally with engineers, product managers, and stakeholders to translate business needs into technical solutions.
Drive data analysis and modeling efforts, leveraging advanced algorithms to uncover insights and improve decision-making.
Ensure scalability, quality, and compliance of all AI/ML solutions within the financial and servicing domains.
Stay up to date with emerging AI/ML technologies and assess their potential impact on the companys strategy.
Mentor and guide team members, fostering knowledge-sharing and technical excellence.

We are growing, and we're looking for a passionate, curious AI Adoption Specialist to join our R&D team!
We are a SaaS B2B solution solving one of the biggest challenges in finance: transforming scattered Excel-based processes into streamlined, cloud-based systems. We help finance professionals gain control, clarity, and insight over their data from reports to forecasts to deep analytics. Now, were ready to take the next step by embedding AI into the way we build software. This is where you come in: helping our R&D teams embrace AI-powered development tools, workflows, and possibilities. If you're excited about exploring the latest AI technologies, influencing engineering culture, and making a real impactthis is the role for you.
What You'll Do:
Drive the adoption of AI-based development tools and workflows across the R&D organization.
Identify, evaluate, and experiment with emerging AI technologies that can enhance developer productivity and code quality.
Work closely with developers, team leads, and stakeholders to integrate AI into day-to-day development processes.
Act as a cross-team enabler, helping teams overcome technical and cultural barriers to AI adoption.
Lead internal initiatives, workshops, and knowledge-sharing sessions to promote AI-driven practices.
Stay up to date with the latest AI tools, SDKs, and developer-focused platforms, and assess their relevance to our tech stack and workflows.

We are looking for a unique, hands-on Machine Learning / AI Developer to design and implement AI-powered solutions that improve business processes across the company. This role focuses on delivering custom-built tools and workflows that off-the-shelf products cannot provide, working closely with multiple departments such as Customer Success, Sales, HR, and more.

Responsibilities:

Collaborate with stakeholders across global teams to identify opportunities where AI can enhance business processes.
Design, develop, and deploy AI-based solutions tailored to organizational needs (e.g., customer success agents, HR process automation, sales optimization).
Build workflows, agents, and ML pipelines, ensuring solutions are production ready.
Integrate diverse data sources and leverage multiple data types to create actionable insights.
Work closely with business units' management to address specific operational challenges.

We are seeking a skilled Backend Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.

About the Role: You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.

What Youll Do::
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.