לוח משרות דרושים הייטק AI

Join CIO Architect team and shape the future of AI! We're seeking a hands-on AI Solutions Lead to lead the development and implementation of enterprise-wide AI applications. In this pivotal role, you'll evaluate and deliver cutting-edge AI solutions to employees and teams across the organization. You'll spearhead AI solution projects from initial concept and requirements gathering through execution and widespread adoption, serving as the central point of contact between business, IT, and Data teams. You'll also stay at the forefront of the latest AI technologies.
As an AI Solutions specialist (CIO Group) you will
Collaborate with cross-functional teams to diagnose challenges and opportunities where GenAI and AI Agent can provide real, measurable value.
Lead the lifecycle of GenAI-driven applications and Autonomous Agents, transitioning rapidly from initial concept and technical feasibility to full enterprise-grade production roll-outs.
Conduct technical audits of emerging AI technologies, leading "Build vs. Buy" analyses to ensure global scalability, security, and measurable value to the organization.
Run training and enablement sessions for both technical and non-technical teams, fostering a culture of AI literacy and ensuring the organization can leverage new tools effectively.
Build and evolve the Enterprise AI technology stack, continuously scouting and integrating next-generation platforms, LLM orchestration tools, and agentic frameworks.
Serve as the primary technical liaison between IS, IT, Legal, and Data teams to ensure AI solutions are securely integrated and compliant with enterprise standards.
Own the long-term roadmap and administration of enterprise AI platforms, driving continuous solution adoption, impact measurement, and performance optimization across the organization.

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.

We are looking for an AI Program Manager to join our team.
We're searching for a talented and passionate technologist to lead internal innovation across the entire company by implementing AI, Automation and Internal Tools. As a key member of the team, you'll play a vital role in developing and implementing innovative solutions to enhance the company's efficiency, productivity and quality. You'll leverage your expertise in artificial intelligence (AI) and project management to design, build, and deploy tools that streamline workflows, automate repetitive tasks, provide insightful data analysis, reduce costs and help the company scale.
Responsibilities:
Collaborate with multiple department heads across the company to identify opportunities, implement POCs and build a roadmap of AI based automation projects and internal tools.
Research, design, and develop AI-powered solutions (e.g., chatbots, machine learning models) to automate tasks, unlock scaling opportunities and generate efficiencies across the company.
Work with the AI Automation Engineer to build internal tools that automate workflows, improve data accessibility, and facilitate collaboration within the company.
Integrate AI and internal tools seamlessly with existing systems and infrastructure to ensure smooth operation and data flow.
Maintain clear documentation, develop training materials and ensure tools and capabilities are enabled and used by potential users across the company.
Conduct ongoing training sessions to the company about internal tools, as well as general developments in the AI space.
Stay up-to-date with the latest advancements in AI, off the shelf tools, and internal tool development best practices.

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.

What We're Looking For
Role Overview: We are developing Ask our company - a high-load financial analysis system based on Large Language Models. The architecture is built on complex multi-agent orchestration using LangGraph, FastAPI, and Elasticsearch.
We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.
Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.
What You'll Do
Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
Performance Optimization:
-Reduce end-to-end latency through asynchronous processing and streaming (SSE).
-Implement semantic caching strategies to minimize API costs and response time.
-Optimize token usage without sacrificing answer quality.
Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.

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 looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.
What Youll Do:
Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
Help conceptualize and build innovative User flows and experiences within Datadogs user space and different extensions
Prototype and see what works well in the real world, iterate closely with our users, and then ship
Follow the latest research on LLM prompt optimization, agents, and code editing.
Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, youll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of one click to reproduce for production errors.

We are seeking a talented Front-End Developer to join an AI-focused team building our next-generation Generative AI Platform. This platform will empower cross-functional teams across to design and deploy AI-driven solutions, leveraging cutting-edge advancements in generative AI, modern web architectures, and rapid innovation cycles. In this role, you will build user interfaces and integration layers that transform advanced AI capabilities into intuitive, high-impact user experiences.
What Youll Do Lead complex tasks from technical architecture and design to implementation and deployment. Develop user interfaces with an AI-first approach, leveraging tools like Claude Code and Cursor to enhance delivery. Design robust Front-End structures tailored for GenAI applications that align with company infrastructure. Partner with PM, UX, and backend teams; integrate closely with our Paris engineering office on cross-site projects. Perform code and design reviews while staying ahead of the latest Front-End and GenAI trends.

we are embedding AI-driven capabilities across its insurance pricing and rating platform. To accelerate this, we are looking for a student with a strong analytical and mathematical background who can serve as a bridge between the theoretical foundations of our algorithms and their implementation in production code. This role offers a unique opportunity to bridge the gap between the theoretical foundations of our company's algorithms and their implementation in production code. You will create AI-powered skills and knowledge bases that enable developers to understand what specific functions do, how they relate to the underlying mathematics, and how they connect to the broader algorithmic pipeline. Youll work on cutting-edge projects involving LLMs, agentic capabilities, and structured knowledge management - solving complex, real-world challenges while making a tangible impact on the evolution of our AI products.
?What youll do: Review and interpret theoretical and mathematical descriptions of algorithms used in the company platform (e.g. GLMs, gradient boosting, optimization routines, rating engines) and map them to corresponding functions, classes, and modules in the codebase. Author structured AI skills (prompt-based documentation packages) that allow an AI assistant to explain to a Developer what a given function does, its mathematical basis, inputs, outputs, and role in the end-to-end process. Create and maintain a structured knowledge base linking mathematical specifications to code artefacts, ensuring it is accurate, testable, and maintainable as algorithms evolve. Optimize, evaluate, and refine AI solutions to enhance performance, accuracy, and efficiency of generated explanations. Expand training and testing data for AI skills, leveraging both hand-crafted and automated examples. Identify gaps where code behavior diverges from or extends the documented theory, and address challenges in AI architecture scalability and reliability. Support the wider AI enablement program by contributing to prompt engineering, testing, and iteration of AI-powered Developer tools.
Position Intro:
we are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. our company has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

Were seeking a tech-savvy Product Manager to lead one of our cross-functional squads. In this role, you will drive the development and success of our product, shaping solutions that enhance efficiency and automation for IT teams worldwide.

As the Product Manager, you will own the product vision and roadmap, turning complex challenges into intuitive, impactful solutions. Youll collaborate with engineering, design, and business stakeholders to deliver innovative features that empower thousands of global customers and shape the future of AI-powered IT Service Management.



Responsibilities

Lead a cross-functional squad to own and deliver AI-driven product initiatives end-to-end, from discovery to launch and adoption.
Stay at the forefront of AI technology and trends, bringing innovative capabilities into product in a practical, customer-focused way.
Partner closely with Product Design to deliver best-in-class AI experiences that are intuitive, trustworthy, and drive adoption.
Define and prioritize product requirements by combining user feedback, market trends, data insights, and stakeholder input.
Drive data-driven decision making by defining success metrics and using product analytics to evaluate impact, adoption, and customer value.
Monitor and continuously improve AI performance over time, including quality, accuracy, latency, reliability, and user trust, ensuring consistent value at scale.
Collaborate with internal teams (engineering, analytics, customer revenue, and marketing) to ensure successful execution and alignment with business goals.

As an Integration Specialist , you will be the technical "glue" connecting our ITSM platform to the worlds leading cloud and IT ecosystems.

This is a unique, high-visibility role for someone who wants to combine deep technical work (APIs, AI-coding, and Workato) with a strategic, client-facing edge. Youll build the automations, train our teams to sell them, and jump on calls to prove their value to global customers.

Key Responsibilities

Build & Automate: Design and deploy API-based integrations between and platforms like AWS, Azure, Security tools, Asset management solutions, and more using our Agentic AI tools and low-code tools (Workato).
Technical Sales Support: Join discovery calls with prospective customers to understand their technical environment and demonstrate how our integrations solve their business pains.
Internal Enablement: Act as the subject matter expert by training internal sales and success teams on how to effectively position and "sell" our technical capabilities.
Documentation: Work with our technical writer to create clear technical blueprints and "how-to" guides for both internal implementation and customer-facing use.

We are seeking for a talented AI/ML developer with strong focus on Python expertise and hands-on experience in AI/ML models to join our Data Science group.
The Data Science group plays a pivotal role in driving the execution and delivery of advanced AI and modern Machine Learning solutions, that empower impactful projects to our target sectors.
Key Responsibilities:
Take part in all development aspects, from concept to production, of AI/ML models and LLM-based features (agents development)
Stay up to date with state-of-the-art research in the field of LLM and apply relevant advancements to improve our solutions
Mentor new team members and share your expertise to strengthen the teams collective knowledge

We are seeking an Associate Generative AI Engineer to join our AI squad . This role blends hands-on engineering with exposure to system design and client-facing delivery, making it an excellent opportunity for engineers early in their career to work on real, production-grade GenAI systems.
You will design, build, and operate LLM-based and agentic systems as part of cross-functional teams, contributing to both greenfield initiatives and the evolution of existing GenAI platforms. You will develop strong foundations in system architecture, backend engineering, and cloud-based GenAI delivery while working closely with more experienced engineers.
Key Responsibilities:
GenAI Development & Implementation:
Develop end-to-end GenAI solutions from POC through production deployment
Implement backend microservices and GenAI components using Python
Contribute to the development of multi-agent systems, orchestration layers, and autonomous workflows
Integrate and optimize LLMs and GenAI APIs within larger system
Participate in evaluating and improving system performance, scalability, reliability, and cost efficiency
Client Engagement & Collaboration:
Participate in technical discussions with clients and contribute to solution design discussions
Support presentations, demos, and technical explanations for client stakeholders
Collaborate closely with project managers, full-stack developers, and automation teams to deliver end-to-end solutions
Cloud & Platform Work:
Deploy and operate GenAI systems on GCP, Azure, and/or AWS
Work with cloud-native AI services and managed platform
Contribute to monitoring, reliability, and operational stability of production environments

We are looking for a Data & AI Project Manager to lead the delivery of AI and Generative AI-based solutions for our clients. In this role, you will own projects end-to-end - from initial scoping and requirements definition through development, deployment, and continuous improvement.
This role is well-suited for a technically oriented project or product manager who enjoys working at the intersection of data, AI, engineering, and business, and who thrives in fast-paced, complex environments.
Responsibilities:
Lead the full lifecycle of AI and data projects, from ideation and design through implementation, deployment, and ongoing optimization.
Translate business and user needs into clear system requirements, technical specifications, and structured delivery plans.
Define project scope, priorities, milestones, and deliverables, ensuring execution on time, within scope, and within budget.
Collaborate closely with development, data, and infrastructure teams to support efficient delivery and resolve technical dependencies.
Drive alignment between technical solutions and business objectives, ensuring delivered solutions generate tangible client value.
Manage multiple stakeholders on both client and internal sides, maintaining clear communication and expectations.
Support the design of intuitive, user-centered AI solutions and workflows.
Identify risks, manage trade-offs, and proactively address challenges throughout the project lifecycle.

We are seeking an experienced Generative AI Engineer to join our AI squad . This is a unique opportunity to wear multiple hats - serving as both a developer of cutting-edge GenAI solutions and an advisory expert helping organizations transform their AI capabilities. You'll build end-to-end GenAI projects from conception to production while staying at the forefront of this rapidly evolving field.
Key Responsibilities:
GenAI Development & Implementation
End-to-End Development: Build GenAI solutions from POC through production deployment, handling all backend development responsibilities
Client Engagement: Participate in technical discussions with clients, gather requirements, and help translate business visions into feasible technical solutions through presentations and consultations
Backend Development: Design and implement production-grade microservices architectures for GenAI applications using Python
Cloud Implementation: Deploy and manage GenAI solutions across GCP, Azure, and AWS platforms, leveraging cloud-native AI services
Cross-functional Collaboration: Work closely with project managers, full-stack developers, and Power Automate teams to deliver complete solutions
System Evaluation: Assess and optimize production-grade GenAI systems for performance, scalability, and reliability