לוח משרות דרושים AI Engineer משרה מלאה

Required Senior Staff Software Engineer, AI
Job Overview
Come join the team as a Senior Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

Required Principal AI Scientist, Fintech Innovation Architecture
Job Overview
Join an amazing team driving cutting-edge AI solutions in the fintech industry, primarily focused on evaluating risk for lending products. This Principal role requires an exceptional blend of deep research, architectural mastery, and a powerful innovation mindset to pioneer new capabilities and deliver high-quality, end-to-end AI systems that shape the product direction for the next 510 years.
Responsibilities
System Architecture & Ownership
Own projects from conception to production, collaborating globally with partners to deliver complex projects.
Define the vision and direction for end-to-end solutions, serving as a thought leader on execution that brings immediate value and solves for the long-term vision.
Deliver robust, high-performance AI/ML system designs that meet critical requirements (latency, throughput, cost, maintenance).
Drive cross-functional end-to-end design architecture.
AI/ML Development & Leadership:
Lead the full cycle of big data exploration, including hypothesis formulation, advanced predictive statistical modeling, and algorithm development across complex, large-scale data.
Mentor existing Data Science teams, influence AI-driven product design and strategy with partner architects, and assist in the definition of roles and training needs.
Innovation & Research Strategy
Pioneer innovative Proof of Concepts (POCs) to show the way for where our Fintech products should go over the next 510 years, focusing on high-impact solutions like Explainable AI, Homomorphic Encryption, or advanced Behavioral Analytics.
Apply research to create high-impact solutions and represent the teams innovation to the wider organization.
Act as a Consultative Business Facilitator, exploiting revealed insights and providing entrepreneurial guidance for business stakeholders.

Required Staff AI Scientist, Fintech Innovation
Job Overview
Join an amazing team of AI scientists, accountable for creating AI solutions in the fintech industry, who assist in evaluating the risk of lending products.
Responsibilities
Provides guidance and support leadership to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals.
Leads the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning.
Uses considerable expertise and independent judgment in collaborating with peers, data engineers, database managers, and business analysts in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for complex and unique business problems
Applies proven methods and hacking skills in working with divergent data types, data scales, and big data (petabytes), to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources (relational and non-relational NoSQL databases)
Provides to business stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research.

We are seeking a visionary and hands-on AI Scientist to help shape the next generation of foundational language models and agentic systems that empower small and medium-sized businesses (SMBs) to thrive. In this role, you will play a key part in defining, designing, and building groundbreaking AI solutions that understand, reason, and act across complex financial and business contexts.
You will collaborate closely with cross-functional experts in AI research, data science, engineering, and product to create intelligent agents that help SMBs automate financial tasks, make smarter decisions, and operate more efficiently. Your work will combine scientific rigor with visionary execution, balancing theoretical innovation with large-scale practical impact.
The ideal candidate is a builder-scientista creative thinker who not only develops novel model architectures and training paradigms but also drives their implementation and validation in real-world applications. Youll have the opportunity to shape the AI foundation that powers transformative products serving millions of customers.
Responsibilities
Design and develop foundational language models and agentic architectures that power intelligent decision-making for small and medium businesses.
Explore novel approaches in large-scale pretraining, fine-tuning, retrieval-augmented generation, and reasoning to improve factuality, adaptability, and alignment.
Build intelligent agents capable of understanding financial data, customer context, and business workflows from bookkeeping and planning to communication and insights generation.
Collaborate with cross-functional teams across AI research, engineering, product, and design to translate breakthrough science into scalable products used by millions.
Define technical strategy and roadmap for next-generation agentic systems, driving innovation and excellence across the organization.
Publish and present research findings, internal innovations, or contributions to open-source frameworks where appropriate.

we are looking for a AI & Video Creative Specialist. This is a rare chance to sit at the sweet spot of storytelling and scale, building world-class paid-social creatives that are as emotionally magnetic as they are performance-driven, for one of the fastest-growing personalized fashion and jewelry brands globally.
we are a brand-new startup at the intersection of jewelry and fashion, making personalization feel like pure style. Co-founded with creative direction from fashion icon Nicky Hilton, were building a modern international brand on a steep upward curve, scaling fast across the U.S. and beyond. Were digital-first, technology-driven and obsessed with crafting pieces that celebrate identity and story.
Please share your portfolio with us. Wed love to see what youve made!
This isnt your typical video role. Were looking for someone who wants to shape the future of creative production, combining tech + taste to make work thats beautiful and clever.
Responsibilities
Bring our custom art to life through smart, compelling videos for social media (IG, TikTok, YouTube, Meta Ads, etc.)
Explore and apply AI tools to supercharge our content and push creative boundaries
Edit, animate, and craft content that connects emotionally and drives results
Collaborate with our creative and marketing team to ideate, test, and evolve new concepts weekly
Utilize the latest AI tools like Runway, Veo, Sora, or 3D.

What you'll do
Design, implement, and own robust automation workflows that execute outbound sales development processes.
Coordinate multi-agent workflows to ensure reliability, monitoring, and smooth handoffs.
Set standards for research, sequencing, and scheduling automation; align with pipeline and revenue goals.
Convert GTM goals and ICP definitions into scalable prompts, data flows, and automated playbooks that support end-to-end outbound motions.
Integrate third-party tools, APIs, and internal systems.
Run A/B tests on prompts, templates, and timing; track conversions and the impacts of the different managed channels.
Evaluate and standardize tooling, templates, and agents; maintain a backlog, release notes, and a clear incident/rollback process.
Collaborate with other team functions to ensure performance reporting: meetings set, conversion lift, pipeline/revenue contribution, cycle time, and cost-per-meeting.

We are looking for an experienced AI Backend Engineer to join our fast-growing company during an exciting stage of innovation. In this role, you'll design and develop Agent and LLM-based features, engineer and optimize context and high-quality prompts, implement agentic architectures in production and evaluate and monitor applications effectively. If you're passionate about staying at the forefront of Large Language Model AI applications and collaborating with a team of experts, wed love to hear from you!

What Will You Do?
Take part in all development aspects, from design to production, of Agent and LLM-based features and applications.
Take part in all the development and planning aspects of a backend application, understanding scale, performance, observability.
Craft and optimize high-quality prompts to enhance application functionality and output quality.
Develop datasets and benchmarks to evaluate and monitor LLM-based applications effectively.
Stay up to date with state-of-the-art research in the field of Large Language Models and apply relevant advancements to improve our applications.
Collaborate closely with other team members and contribute to a culture of innovation and continuous improvement.
Mentor new team members and share your expertise to strengthen the team's collective knowledge.

We are hiring a Staff Data AI Lead to lead our AI initiatives.As a Staff Data AI Lead you will be responsible for leading SuperSonic organization AI integration efforts and serving as the bridge between advanced AI technologies and our business needs, implementing cutting-edge Data & AI technologies, creating AI-driven strategies and integrating innovative AI solutions across multiple platforms.
What you'll be doing
Develop and execute AI strategies aligned with business objectives
Advise leadership on AI capabilities and potential applications
Guide teams in adopting AI tools and methodologies
Ensure ethical and efficient implementation of AI technologies
Design and oversee AI-driven process improvements
Collaborate with various departments to identify AI opportunities
Stay current with the latest AI trends and advancements
Conduct AI-related training and workshops for staff
Manage AI projects from conception to implementation
Evaluate and recommend AI tools and platforms
Leading a team of AI engineers.

ActiveFence is a leading platform for Trust & Safety teams worldwide, leveraging cutting?edge AI and world?class expertise to protect users from the widest spectrum of online harms. By continuously collecting and analyzing data, our solutions ensure customers stay two steps ahead of bad actors in an ever?changing threat landscape. We’re seeking an outstanding Backend Engineer with a Generative AI orientation to join our research 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. This platform will handle GenAI models deployment, prompt management, data filtering, logging, and monitoring, centrally, so individuals can focus on their own business-specific logic. Key Responsibilities
* Build and maintain CI/CD pipelines that support fast, reliable integration and deployment of GenAI systems across complex environments, including orchestrating multiple models/agents and MCP clients/servers.
* Develop, deploy and integrate AI solutions and agentic frameworks, creating both command?line tools and interactive notebooks that support our team’s research and workflow automation needs.
* Build and manage data pipelines and databases (SQL) for large?scale data handling, automating data collection and curation (e.g., adversarial prompts for model red-teaming) to support AI training and evaluation.
* Integrate research into production by implementing the latest generative AI advancements (including white?box LLM development), integrating different models and agents, and developing evaluation frameworks (e.g., agentic reasoning tests) as part of our automated workflows.
* Deploy GenAI models from repositories such as HuggingFace onto our AWS platform, connect them to data pipelines, and automate end?to?end processes for prompt generation, labeling, and response evaluation.


About ActiveFence:
ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

We are seeking an experienced Senior Backend Engineer to join our Data Services team. The Data Services team manages, provides and processes the large volumes of data, used by our Scientists and customers.
In this role, you will be responsible for building new cloud and on-prem data systems and infrastructure, as well as maintaining, improving, and enhancing serving systems, in order to provide highly usable, robust, and efficient data services.
Responsibilities
Participate in the development of state-of-the-art auto-driving systems by managing the data required for training and validation
Build efficient services to manage and provision large quantities of visual and other types of data
Design, develop, and implement robust cloud and on-prem services
Contribute to the selection and utilization of new AI technologies, databases, and third-party services.

We are looking for a passionate and talented AI Engineer to join our mission - leveraging Generative AI (GenAI) to power smarter healthcare, enhance clinical insights, and accelerate the adoption of transformative technologies across the organization.

Job Description

As an AI Engineer at Eitan Medical, you will be part of a team committed to bringing life-changing innovation to patients and clinicians. You will lead the integration of Generative AI into our Insights platform, helping transform complex medical data into actionable insights that support better clinical decisions, personalized treatments, and improved patient outcomes.

In parallel, you will drive AI adoption across internal departments, enabling digital transformation, operational efficiency, and intelligent automation that empower teams company-wide.

This is a highly cross-functional role, collaborating with data engineers, data analysts, product managers, and full-stack developers to build and deploy impactful, scalable, and responsible AI solutions.

We are seeking someone curious, self-driven, and forward-thinking - a technologist who stays ahead of industry trends and actively identifies opportunities to bring cutting-edge

As an AI Engineer at Eitan Medical, you will play a vital role in integrating Generative AI technologies into both our SaaS healthcare platforms and internal business operations. Your work will directly contribute to improving clinical decision-making, optimizing treatment pathways, and enabling intelligent automation that enhances patient outcomes and operational efficiency.

You will collaborate closely with data engineers, data analysts, product managers, and full-stack developers, turning cutting-edge AI concepts into production-ready solutions that drive real-world impact.

This role is ideal for a curious, self-driven technologist who thrives on staying ahead of industry trends, identifying opportunities for innovation, and applying the latest AI technologies responsibly and effectively.



Key Responsibilities

Integrate Generative AI (GenAI) capabilities into Eitans SaaS platforms to enhance clinical decision support, treatment optimization, and actionable medical insights.
Identify and lead AI-driven initiatives across departments to streamline processes, boost productivity, and accelerate innovation.
Design and implement AI-powered systems, including RAG architectures and agentic workflows, using frameworks such as LangChain, LlamaIndex, or similar.
Develop effective prompt strategies and reasoning pipelines for adaptive, context-aware, and explainable AI behavior.
Monitor and optimize AI system performance, maintaining accuracy, reliability, and safety in healthcare contexts.
Stay ahead of emerging AI research and tools, evaluating new technologies for their potential to deliver measurable clinical and business impact.

We are seeking a talented AI Engineer to join our dynamic team and help build cutting-edge AI-powered applications. You'll work at the intersection of modern web development and artificial intelligence, creating intelligent solutions that leverage the latest in AI frameworks and cloud technologies.

Responsibilities
What Youll Be Doing

Design and develop AI-powered applications using LangChain and LangGraph frameworks
Implement and optimize Model context protocol (MCP) integrations for AI agent workflows
Create sophisticated prompting strategies and prompt engineering solutions
Build robust backend services using Node.js and NestJS
Design and manage data pipelines with MongoDB and Redis for caching and session management
Collaborate with cross-functional teams to integrate AI capabilities into existing products
Research and implement emerging AI technologies and best practices
Optimize AI model performance and cost-effectiveness
Write clean, maintainable, and well-documented code

We are looking for AI Engineer to join the Data Science team.
As an AI Engineer in the Data Science team, you will be working closely with applied researchers on model optimizations, GPU and hardware, language-model optimizations in the Video and Language domains and more. 
Your code will reach Azure resources and extensions, and you will use various technology stacks with the latest tools and methodologies.
You will be expected to break down problems, learn and develop, have an open mind, and have ownership all the way to production. Working in a multi-disciplinary team will require excellent communication skills and at the heart of it all, alignment with values and endless curiousness.

We are looking for a AI Automation Engineer to join our team.

We're searching for a talented and passionate technologist to implement AI driven innovation by integrating AI Agents and AI APIs in automation processes and Internal Tools. As a key member of the team, you'll play a vital role in developing and implementing innovative solutions to enhance our company's efficiency, productivity and quality. You'll leverage your expertise in artificial intelligence (AI) , automation tools, and software development to design, build, and deploy tools that streamline workflows, automate repetitive tasks, provide insightful data analysis, reduce costs and help the company scale.

Responsibilities
Work with the AI Projects Manager to 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.
Build internal tools that automate workflows, improve data accessibility, and 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.
Write clean, maintainable, and well-documented code or automation processes, adhering to best practices and security standards.
Conduct unit tests and implement test-driven development (TDD) methodologies to ensure code quality and reliability.
Monitor and maintain deployed tools, identifying and resolving technical issues promptly.
Stay up-to-date with the latest advancements in AI, automation tools, AI APIs, and internal tool development best practices.

We are looking for a Head of CX - AI, Automation, and Tools to join our team.

The Head of CX - AI, Automation, and Tools role is a unique opportunity to join a highly motivated, customer-centric team striving for excellence. We are shifting gears to an AI-first approach in a super-fast-paced environment. Our goal is to make the customer experience a competitive advantage in the hospitality industry by ensuring our processes are not just defined, but supercharged by intelligent automation.

You will be a hands-on leaderarchitecting flows in n8n/Make, leading a small group of elite talent, and owning a significant share of the day-to-day operations of Guesty CX.

Responsibilities
AI & Automation Architecture (Hands-on)

Build and Deploy AI Solutions: Take a hands-on role in designing, building, and deploying AI-based automations to revolutionize how we support customers and reduce manual work.
Workflow Engineering: Utilize n8n or Make to architect complex, robust workflows that integrate various CX tools.
Client Facing chatbot - defining the priorities roadmap and requirements for our home grown client facing chatbot - built on AWS AgentCore, Langchain and utilizing multiple AI models.
CX AI Agents management and orchestration - building, deploying and monitoring multiple AI agents that cover all areas of the CX operations including data analysis, knowledge, training, support , quality and more.
Tool Administration: Administration and configuration of all CX tools, including finding or replacing tools as needed to keep our stack cutting-edge.
Leadership & Strategy

Talent Management: Manage a small team of highly talented individuals, fostering a culture of innovation and speed.
Process Ownership: Ownership of existing processes in the CX team and defining new processes as needed to support KPIs.
Cross-Department Interface: Define and manage the interface and processes CX has with other departments (BI, CS, Product, OB) and between the various CX teams.
Data & Tools

Data-Driven Improvement: Oversee the CX KPI reporting and work with the BI team to continuously improve our data and dashboards.
Tech Stack: Oversee the CX tech stack (Zendesk, Tymeshift, Airtable and various internally built tools) , continuously introducing new tools and approaches.