דרושים » הנדסה » AI Engineer & Architect- New AI Product) Frequants)

Were hiring a Senior AI Engineer to join a newly formed AI Engineering group dedicated exclusively to RIVO, our flagship SaaS platform transforming global trade finance.
This is a high-impact role in a lean team with a clear mission: deliver production-grade AI capabilities end-to-end, from shaping the solution and validating it quickly, to production rollout, monitoring, and continuous improvement. We are not experimenting with AI. We are embedding it directly into the product, and building the AI foundation and reusable infrastructure that will power RIVO for years to come.
If you are a senior backend engineer with strong hands-on experience building LLM-based systems in production, and you want to own meaningful AI solutions inside a global SaaS product, this role is for you
Location: Kfar Saba, Israel
Reporting to: AI Team Lead
Roles and Responsibilities
Lead the design, development, and deployment of AI-powered services and product features into production.
Design and build scalable and reliable backend infrastructure to support AI capabilities (APIs, workflows, guardrails, monitoring, cost controls).
Own the lifecycle of AI services end-to-end: discovery, prototyping, evaluation, production rollout, monitoring, iteration, and maintenance.
Contribute to building RIVOs AI foundation by developing reusable building blocks (shared libraries, templates, integration patterns, evaluation utilities).
Apply advanced prompt engineering techniques and LLM orchestration patterns (tool/function calling, structured outputs, routing, fallback strategies) to achieve reliable and predictable behavior.
Implement and optimize retrieval-based systems including embeddings, vector search, and RAG pipelines.
Research, evaluate, and recommend models, tools, and frameworks, balancing quality, latency, cost, and maintainability.
Write high-quality, production-ready code and actively participate in code reviews and architectural discussions.

Our mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work.
We provide mobile brands with the only patented, centralized, data -driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events threat-aware UI / UX control, ThreatScope Mobile XDR, and Certified Secure DevSecOps Certification in one integrated system.
With us , mobile Developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, TEST, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline.
Leading financial, healthcare, m-commerce, consumer, and B2B brands use us to upgrade mobile DevSecOps and protect Android & IOS apps, mobile customers, and mobile businesses globally. Today, our customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected.
We are seeking a driven and results-oriented Account Executive to join our team. In this role, you will focus on acquiring new customers, building trusted relationships, and driving revenue growth by understanding prospects mobile business and security objectives and aligning them with our solutions.
The ideal candidate is a proactive communicator with strong interpersonal skills and a solid technical foundation. You excel at managing complex enterprise sales cycles and thrive in a dynamic environment that demands collaboration across teams and effective engagement with stakeholders via phone, email, and in-person interactions.?About the Role
We are building an AI-driven future, and we need an exceptional AI Engineer to join our new AI Department. This is a unique opportunity to work in a startup environment within a growing company, where youll take ownership of AI and ML initiatives, build cutting-edge solutions, and influence the direction of our AI products. The role has strong leadership potential and is suited for individuals who are passionate about solving complex problems and making a real impact.
?What Youll Do

* Research, design, and implement LLM-based products and infrastructure.
* Collaborate with data scientists, data engineers, product teams, and backend engineers to integrate AI solutions into products.
* Take full ownership of AI engineering pipelines from experimentation to production.
* Utilize cloud-based AI deployment strategies, particularly within AWS.
* Develop and maintain high-quality, scalable, and efficient code.

We are looking for a Senior AI Engineer to join our Cybersecurity team in Tel Aviv. You will design, build, and productionize LLM-powered applications, multi-agent systems, and MLOps infrastructure that power our company's next-generation cybersecurity capabilities. This is a high-impact, hands-on role at the intersection of applied AI, agentic systems, and network securit
What You'll Do
Design and develop LLM-powered security features and internal AI tools, including RAG pipelines, multi-agent workflows, and prompt-engineered systems tailored for cybersecurity use cases
Architect and operate multi-agent systems in production - including agent orchestration, inter-agent communication, task delegation, and failure handling at scale
Build robust agent monitoring and observability pipelines: tracing agent execution, detecting drift or failure, alerting on anomalous behavior, and maintaining agent reliability SLAs
Build and maintain scalable MLOps infrastructure: model serving, evaluation frameworks, experiment tracking, and CI/CD for ML models
Work with internal datasets (network telemetry, security logs, threat intelligence) to fine-tune and adapt foundation models for domain-specific detection and response tasks
Partner with the Cybersecurity, R&D, and infrastructure teams to define AI-driven security features and deliver them end-to-end
Establish best practices for model observability, safety, and responsible AI deployment within the organization
Stay current with the fast-moving LLM/GenAI and agentic AI ecosystem and evaluate emerging frameworks, models, and tools for adoption.

Required AI Developer
Who we are:
We are a TLV-based startup thats on a mission to change the work experience for 80% of the worlds global workforce - the deskless employees.
Our business management platform helps thousands of businesses thrive by taking away the daily hustle and complexities of managing teams, so they can have the peace of mind to grow and run their business.
About the Role:
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 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.

Were seeking a visionary Team Lead to lead a AI & backend-focused team building our next-generation Generative AI Platform. This platform will empower cross-functional teams across our company to design and deploy AI-driven solutions, leveraging cutting-edge advancements in generative AI, cloud-native architectures, and rapid innovation cycles.
In this role, youll manage a high-performing backend team responsible for building scalable microservices and cloud-based infrastructure, while integrating advanced AI capabilities such as evaluation frameworks, RAG pipelines, knowledge base management, embeddings, LLMs, chatbot assistants, and agent orchestration.
What Youll Do
Lead and mentor a backend engineering team developing a scalable, cloud-native AI platform. Youll foster a culture of technical excellence, collaboration, and ownership while ensuring delivery of robust, production-grade systems.
Define the technical direction and architecture for backend services, focusing on microservices, distributed systems, and AWS-based infrastructure to support AI-driven applications.
Integrate cutting-edge AI capabilities into the platform, including RAG pipelines, embeddings, LLM orchestration, and evaluation frameworks, ensuring performance, scalability, and security.
Collaborate with product and engineering teams to translate business needs into backend solutions that enable AI-agent use cases and accelerate innovation across the organization.
Drive agile processes and best practices, leveraging tools like Jira to manage sprints, track progress, and continuously improve team efficiency and delivery quality.
Scale the team strategically, hiring and onboarding top talent while mentoring future leaders to support the growth of the Gen AI Platform group.

Were hiring an AI Engineer to join a newly formed AI Engineering group dedicated exclusively to RIVO, our flagship SaaS platform transforming global trade finance.
This is a high-impact role in a lean team with a clear mission: deliver AI-powered product capabilities end-to-end, from idea and prototype to production rollout, monitoring, and iteration. Were not experimenting with AI; were building real product features and laying the AI foundation that will power RIVO for years to come.
If youre a backend engineer who has built AI/LLM solutions in production and wants to shape the AI ecosystem inside a global SaaS product - this role is for you.
Location: Kfar Saba, Israel
Reporting to: AI Team Lead
Roles and Responsibilities:
Own AI features end-to-end: translate product problems into AI solutions, prototype quickly, productionize, and continuously improve based on real usage and metrics.
Build and maintain production-grade AI services using Python and/or Node.js, integrated into RIVOs backend architecture.
Develop the AI foundation for RIVO: shared building blocks, standards, templates, APIs, evaluation tooling, guardrails, and observability.
Design and implement prompting strategies, function/tool calling flows, and structured output patterns to achieve reliable results.
Build and optimize RAG pipelines (retrieval, ranking, chunking, context construction) and integrate with vector databases and hybrid retrieval techniques.
Implement evaluation and monitoring: offline testing, automated regression suites, online metrics, cost monitoring, and quality dashboards.
Work closely with Product, Engineering, and Domain Experts to ensure solutions are scalable, secure, and aligned with business value.
Research and adopt the best-fit models and approaches (OpenAI/Anthropic/open-source), including routing, fallback strategies, and cost/performance optimization.
Write clean, scalable, well-tested, and well-documented code.

Were looking for a Generative AI Developer to join our forward-thinking engineering team. This role is perfect for someone with a passion for cutting-edge AI, a strong software engineering background, and the creative spark to identify and implement novel use cases within our product.

You will play a critical role in adding AI capabilities to our FinOps SaaS platform. Whether it's enhancing user workflows, automating insights, or inventing entirely new product experiences, youll have both the freedom and support to experiment and execute.

We provide a uniquely rich dataset covering the full scope of a companys cloud spend. This expansive data playground offers a powerful foundation for experimentation and insight generation, enabling the development of intelligent, value-driven features.

Responsibilities:
Lead the charge in transforming our product and preparing it for the agentic age.
Design, build, and deploy generative AI-powered features across our product.

Identify opportunities for AI integration by proactively exploring FinOps use cases and user needs.

Prototype and validate new AI use cases quickly and iterate based on internal and external feedback.

Collaborate cross-functionally with product, design, and backend teams to drive innovation from concept to production.

Stay current with the fast-moving generative AI landscape and evaluate new models, APIs, and tools (e.g., OpenAI, Anthropic, Hugging Face, AWS Bedrock, open-source LLMs).

Live in the future and track new innovations and paradigms in this fast evolving field and identify opportunities to integrate them into the product.

Implement safeguards, prompt engineering techniques, and usage monitoring to ensure high-quality AI outputs.

Optimize model performance, inference time, and cost efficiency within AWS infrastructure.

Were seeking a visionary and technically hands-on AI Team Leader to join and take charge of driving innovation across our core AI systems.
As the AI Team Leader, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform.
You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.
This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.
Key Responsibilities:
Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiatives-identify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

We are looking for a highly motivated AI Full stack Engineer with GenAI background in production to join our team and help us shape the future of the Agentic engineering platform (AEP).
What youll do:
At our company, were a platform by developers, for developers. Your role will encompass end-to-end design, implementation, and daily feature delivery across both backend and frontend systems.
You will:
Implement high scale AI-powered features deeply integrated into our platform
Design and build production-grade backend systems serving a wide and growing user base
Build agent-based workflows using frameworks such as AI SDK
Integrate LLMs into real production systems with attention to reliability, latency, observability, and cost
Work across frontend (React + TypeScript) and backend (NodeJS, Python, Go) to deliver complete AI-driven user experiences
Own features end-to-end: design, implementation, testing, deployment, and monitoring
Help define standards and best practices around AI reliability and evaluation
Contribute to technical planning, mentor teammates, and help recruit top talent
Develop retrieval-augmented generation (RAG) pipelines over structured and unstructured data
Our stack includes React + TypeScript on the frontend, and NodeJS + TypeScript, Python, and Golang on the backend, and Vercels AI-SDK + AWS Bedrock + Azure OpenAI for GenAI. We use Kafka + Kafka Connect, Redis, PostgreSQL, MongoDB and other modern infrastructure components.