לוח משרות דרושים מהנדסים במרכז

Required AI Backend Engineer
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Backend engineer, you will join a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll utilize technical skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Design, develop, and maintain backend services for AI agents and tool integrations using latest technologies
Build scalable APIs and microservices that interface with LLMs and AI frameworks
Implement agent orchestration systems, tool calling mechanisms, and workflow engines
Optimize performance and reliability of AI-powered applications at scale
Develop data pipelines for training, evaluation, and monitoring of AI systems
Integrate with various LLM providers (OpenAI, Anthropic, etc.) and manage API interactions.

we are seeking a talented Engineer to join our Big Data Analytics Tools group in Israel.
This is an amazing opportunity to work with a world-class team and to hold responsibility for designing and implementing big data platforms and pipelines.
You will work with Engineers, Data Scientists, DevOps, and PMs and be in charge of designing and developing Apache Spark applications on AWS infrastructures that process large volumes of media exposure records while preserving privacy.
If you want to grow with us and work for a world leader company, now is the right time to join.
What You'll Do
Be part of an engineering team that focuses on Big Data analytical platforms and tools
Design and implement highly reliable and scalable Spark applications that efficiently process big data
Collaborate with data scientists on the design and implementation of ML data pipelines
Integrate with relational databases, MongoDB, and AWS services (e.g. EMR, S3, SQS)
Work in an agile team to improve the development life cycle, development practices, and testing facilities.

We are looking for an experienced manual QA Engineer to drive our test efforts and test executions as part of a product team.
What you'll be doing:
Be a product expert and a focal point for your team business.
Executing and owning full QA cycles of new features releases.
Own the bug/s life cycle and issues handling by the team.
Work closely with developers and product managers.
Write detailed test plans and cases.
Validate that new software releases are meeting the highest quality standards.

We are seeking an R&D Lead to lead the development for Agentic Commerce, a brand new product. The product focuses on owning the visual and semantic layer that AI agents rely on to understand, rank, and present products. We are a small, fast-moving, and highly independent team with full end-to-end ownership. The opportunity ahead is large: the front door of commerce is shifting from websites to AI agents, and merchants must adapt to be discovered, selected, and converted inside agent-driven experiences.
Responsibilities
Lead and be accountable for all development efforts, with a co-founder / CTO-level mindset
Co-lead the pod alongside the GM as a true counterpart
Build a deep understanding of how AI agents consume product data, media, and signals, and how merchants win selection and conversion in this new paradigm
Starting as a solo developer, you will be responsible for designing and shipping an AI-native product, growing a team when needed
Leverage platform to get to market quickly, building only what meaningfully advances learning and traction
Continuously adjust technical direction as agent behaviors, protocols, and market assumptions evolve

Were looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.
This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features-from data pipelines and LLM orchestration to intuitive UI experiences-with a strong product mindset.
Responsibilities:
AI Agent Design & Integration
Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).
Fullstack Product Development
Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces.
Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance.
Collaborate closely with design, product, and data teams to bring ideas from concept to production.
Systems & Infrastructure
Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
Ensure systems are secure, reliable, and compliant with InfoSec standards.
Experimentation & Continuous Improvement
Rapidly prototype and iterate on new AI capabilities and user experiences.
Analyze performance and usage metrics to drive product and model improvements.
Stay up to date with the evolving AI toolchain and emerging agent architectures.

We are seeking for a DevOps Engineer. As part of the team, you will take ownership of cloud-native environments, support development teams with robust and secure CI/CD processes, and help drive the implementation of Infrastructure as Code (IaC) practices. Youll work with advanced tools and technologies such as Azure DevOps AWS (including ECS), and Docker Containers, supporting mission-critical applications in a production-grade environment. A full time hybrid position?Key Responsibilities:
* Designing, building, and maintaining CI/CD pipelines using Azure DevOps
* Managing and deploying containerized applications using Docker and AWS ECS
* Implementing and maintaining Infrastructure as Code using tools like Terraform or CloudFormation
* Supporting development and QA environments in a hybrid cloud setup

Contribute to architecting and strategy, design and develop highly-available management systems, with scalable distributed system considerations and APIs
Lead solutions for business application platform layer while keeping in mind robustness, security, and monitoring
Aim to be a focal point for company-wide source of knowledge
Lead by example, mentor peers, and ensure high standards of code quality
You will work with product managers and business partners to frame problems within the business and product context.

Participate in the architecture, design, and implementation of innovative cloud-based services and development infrastructure.
Address multi-tenancy aspects, high availability, agility, security, and more.
Participate in Product Decisions and help design core product. The challenge is to build an efficient, robust, and bulletproof solution since our infrastructure powers our customers' mission-critical services...

Coordinating the activities of both internal and external client, consultants, and contractors Ensuring the project team stays Client focused while delivering quality. Managing communications between Project Manager, project team, sub-consultants and the Client. Assisting with the day-to-day project management and administration of project tasks Supporting engagement with Clients Stakeholders and Regulatory Authorities,

A successful high-tech company in the field of optics- Design of optical imaging and illumination systems in the visible spectrum. Performing computer simulations and identifying undesired optical phenomena (ghosts, stray lights). Engineering responsibility for the optical design from concept to prototype. Defining manufacturing specifications for optical components and assemblies. Working with various engineering teams, especially material and mechanical designers.

We are looking for an experienced AI Engineer & Architect to lead the end-to-end development of a new AI-based platform for risk management. This is a hands-on role with responsibility for system architecture, development, and implementation of complex business logic in the financial and Generative AI domains. The platform will enable customers to build virtual, AI-driven teams based on autonomous agents. Responsibilities Design, build, and develop the platform from scratch, end-to-end ( backend, infrastructure, and user-facing components). Develop and orchestrate multi-agent systems capable of collaboration, analysis, simulations, and insight generation. Integrate leading LLMs (e.g. OpenAI, Anthropic), including RAG-based connections to Real-Time financial data. Perform prompt engineering and fine-tuning to ensure accurate and reliable outputs in financial use cases. Select the technology stack, design cloud infrastructure (AWS / GCP / Azure), and manage deployment.