לוח משרות דרושים הייטק AI  בפתח תקווה

Were looking for a junior engineer or 4th-year student with hands-on experience in business process automation and familiarity with GenAI tools. This role combines AI, operations, and automation, and focuses on helping standardize internal business operations, understand existing workflows, and build automations that create clear, measurable impact across teams such as Operations, HR, Finance, Legal, Sales, Marketing, and IT.
In this role, you will work on both internal and customer-facing projects. On the internal side, youll support HubSpot and FinOps tracking and automation, and help the company adopt AI and automation tools across day-to-day business operations, including Sales and Marketing.
On the customer-facing side, youll support process mapping, GenAI maturity assessments, and cross-team productivity work. Youll use automation tools such as Zapier, Make, and n8n, and take part in exploring and implementing agentic AI workflows. This includes building automated flows that combine LLMs with business rules, connected tools, and task execution.
This role combines elements of Operations, GenAI, and Industrial Engineering, and focuses on helping enterprise and startup customers adopt GenAI capabilities in a practical way.
Key responsibilities :
Build and maintain basic financial tracking dashboards and support FinOps processes
Support the implementation of AI tools for Sales and Marketing, including go-to-market activities
Automate HubSpot tracking and connect CRM data with AI-based systems
Analyze and document existing business workflows across different departments
Identify automation opportunities and build secure workflows using Zapier, Make, or n8n
Create, maintain, and analyze GenAI maturity assessments
Support customer success activities to ensure high satisfaction and continued growth

Weve served many satisfied customers globally and are now hiring a hands-on GenAI leader to join our GenAI Center of Excellence in Israel.
As a Generative AI Engineering Lead, you will lead the design, development and implementation of cutting-edge Generative AI solutions for our clients - ranging from Fortune 500s and enterprises to leading SMBs and startups. In this hands-on role, you will work closely with software, AI & data engineers, data scientists, architects and PMs to drive innovation and efficiency through AI solutions.
Responsibilities:
● Lead (hands-on) the design and development of state-of-the-art Gen-AI applications and products for top-tier clients
● Build and lead a team of GenAI engineers working across the stack to deliver end-to-end production-grade AI solutions to complex business problems
● Lead client AI discovery processes and sessions to deeply understand the customers needs and provide AI implementation recommendations
● Provide customers with Generative AI expertise and advisory through architecture designs, PoCs and solution reviews
● Work closely with our teams of cloud experts to deploy AI solutions across all major cloud environments (Azure ,AWS, GCP)
● Collaborate with cross-functional teams to translate business requirements into technical specifications for AI-powered applications
● Stay up-to-date with the latest GenAI technologies, research and trends

Were seeking a Team Lead - Generative AI Engineer to lead a team of engineers in designing, developing, and deploying production-grade AI systems. This role is ideal for someone who is both a strong technical contributor and an experienced people leader-capable of driving architecture decisions, mentoring team members, and delivering innovative AI solutions at scale.
You will be responsible for guiding the end-to-end lifecycle of Generative AI applications, ensuring technical excellence, scalability, and alignment with business needs. This includes working across backend systems, RAG pipelines, prompt engineering, and cloud-native deployments.
Key Responsibilities
Leadership & Team Management Lead and mentor a team of AI/ML engineers, fostering growth and technical excellence.
Define and enforce coding standards, architectural patterns, and best practices.
Collaborate with stakeholders to translate business needs into AI-driven solutions.
Manage project timelines, technical risks, and team deliverables.
Generative AI & Prompt Engineering Integrate and optimize applications using LLM provider APIs (OpenAI, Anthropic, etc.).
Design prompts with advanced techniques (few-shot, chain-of-thought, chaining, context crafting).
Implement safeguards (guardrails, structured output validation, injection protection).
Architecture & Backend Development Build scalable backend services in .NET (C#) and Python, working with SQL and APIs.
Develop and manage RAG pipelines, conversational AI systems, and summarization tools.
Drive observability: tracing, logging, monitoring for LLM-powered systems.
Evaluation & Optimization Benchmark and evaluate LLMs using custom datasets and automated testing.
Oversee system reliability, performance tuning, caching, and optimization.
Ensure solutions meet enterprise-grade standards for security and scalability.

We are looking for team members that love new challenges, cracking tough problems, and working cross-functionally.
You will be working end-to-end from ideation to implementation and have an opportunity to see your models make a significant impact on products and customers security.
Responsibilitie:
Develop ML models to identify security exploits, that based on a wide range of algorithms and techniques (classification, clustering, graph based)
Explore various data sources while leveraging your domain knowledge to craft creative features to boost model performance
Lead and innovate AI projects in the Security domain, lead discussions and understand the needs of the project from the business units and be able to integrate your domain knowledge into the algorithms you'll build and implement in production
Be an active partner of the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation, and visualization

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 5-10 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 Fintech products should go over the next 5-10 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.

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 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

we are seeking a Staff-level Senior AI Security Researcher to join AI Adversarial Robustness Research (A2RS), a multidisciplinary team focused on securing AI and GenAI models and systems.
Were looking for innovative team players who love new challenges, enjoy cracking tough problems, and thrive in cross-functional environments.
In this role, you will partner with data scientists and security researchers to define how secures AI applications.
Responsibilities:
Research AI and GenAI systems from a security perspective to understand when and how they are vulnerable to a variety of threats
Blue team: Explore innovative ways to enhance the security of AI systems
Red team: Analyze the attack surface of state-of-the-art AI technologies
Center of Excellence: Collect and synthesize research literature and open-source tools to build and maintain a robust knowledge base for adversarial robustness of AI systems
Distill and share AI security knowledge within and externally through seminars, blogs, papers, and conference talks

We are seeking a talented, creative, and fast-moving AI Engineer to join our AI team.
This is a unique opportunity to play a hands-on role in shaping the future of AI-driven technologies across our cloud data platform.
Were seeking a smart, creative, and fast-learning engineer who thrives in a dynamic environment.
A curious mind who loves to experiment, prototype, and transform cutting-edge AI and ML concepts into impactful, real-world products.
Responsibilities:
Design, develop, and deploy AI-based features and automation tools across our platform.
Collaborate with engineering, product, and data teams to identify and execute opportunities for AI integration.
Work with Machine Learning models, LLMs, NLP, and generative AI frameworks to enhance product intelligence and user experience.
Prototype, test, and iterate rapidly, optimizing models for scalability and performance.
Stay updated on AI and ML trends, tools, and research, bringing fresh ideas and technical insight to the team.

We are looking for a talented and driven developer to join our Research Engineering team and contribute to the development of scalable, cloud-native AI solutions on AWS. This role focuses on building and maintaining infrastructure and services that support advanced machine learning workflows, real-time inference, and robust observability.
You will research and build data-driven applications. Research and develop Machine Learning algorithms to turn forensic data into investigation leads, evidence, and intelligence insights. Be a part of a heterogeneous, multi-disciplinary research team. Take projects end to end, from the inception of the idea, through data and algorithm research and POC development. The work is both analytical and experimental in nature and includes prototyping of new algorithms, investigating data, and evaluating algorithm performance.
Responsibilities
Design and implement features for our AWS-based AI solution, including job orchestration, manifest generation, and API integrations.
Develop and maintain CI/CD pipelines using GitHub Actions, CDK, and AWS infrastructure (e.g., SageMaker, Lambda, Bedrock).
Ensure code quality and reliability through comprehensive unit testing, performance testing, and observability enhancements.
Collaborate with cross-functional teams to integrate AI services into broader investigation workflows and runtime environments.
Troubleshoot deployment issues and contribute to the continuous improvement of dashboards and monitoring tools.

We are seeking a highly skilled AI Engineer to help define the future of intelligent forensic research platforms.In this role, you will lead the design and integration of advanced AI capabilities into a large-scale, production-grade environment, working closely with core engineering and research teams.
You will contribute to unifying internal tools and workflows into a cohesive, AI-driven ecosystem that significantly enhances developer and researcher productivity.You will also drive the evolution of automation and analysis pipelines, replacing brittle processes with robust, scalable, and intelligent solutions.
A key part of the role involves exploring complex datasets, evaluating models, and applying generative AI and heuristic approaches to uncover, structure, and interpret digital artifacts.This position offers the opportunity to work on challenging problems at the intersection of AI, systems engineering, and data analysis, with real influence over architecture, tooling, and research direction.
If you are motivated by building high-impact AI systems, solving non-trivial technical problems, and enabling teams to operate at a higher level, this role provides a unique opportunity to make a lasting impact in a mission-driven domain.
Key Responsibilities:
Develop and implement AI solutions to parse and analyze data from forensic extractions, including mobile devices.
Design, build, test, and maintain efficient, reusable, and reliable C# .NET code with integration to cloud services in AWS.
Utilize heuristic-based methods and GenAI technologies to enhance data identification and classification.
Research, explore data, assess, and implement the best models to solve various forensic research problems.
Collaborate with other professionals across the company, combining AI, Forensic Research, and Engineering expertise.
Translate forensic research methods into AI algorithms and innovation suggestions.
Location - Israel, Petah.