דרושים » AI » Applied AI Engineer (GenAI & ML)

we are looking for a AI Engineer to join our R&D organization and help lead the development of AI-powered and data-driven capabilities in our Developer Productivity Platform.
In this role, you will transform data into actionable insights and intelligent models that help software teams understand, measure, and improve how they work. Youll work closely with product, data, and engineering teams to design and deliver AI and data science solutions that have real impact on developer productivity and business outcomes.

Key Responsibilities:
Design, develop, and deploy AI-driven features & data science and ML models to analyze code flows, software development processes, team behaviors, and performance metrics.
Build AI & data pipelines and analytical infrastructure that ensure data quality, accessibility, and freshness at scale.
Translate complex data into clear, actionable insights and code analysis that influence product direction and drive customer value.
Develop and maintain predictive, prescriptive, and diagnostic models to support use cases like delivery forecasting, productivity measurement, and team health analysis.
Partner with Product Managers, Data Engineers, and Backend Engineers to bring insights to life through AI & data-driven features and platform improvements.
Monitor and continuously improve model performance through experimentation, A/B testing, and user feedback loops.
Research and evaluate new AI/ML tools and methodologies to enhance the platforms intelligence and scalability.

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 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.

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.

We are seeking an experienced Generative AI Engineer to join our AI squad at our company. 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
Continuous Learning & Innovation
Technology Scouting: Continuously explore and evaluate new GenAI models, frameworks, and techniques as they emerge
Best Practices Development: Establish and refine methodologies for GenAI solution development and deployment.

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.

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.

About Eitan Medical Eitan Medical is a fast-growing global medical device company, developing innovative drug delivery and infusion solutions across the continuum of care – from hospital to home. We are driven by a single purpose: to improve patient care and save lives through meaningful innovation.
The Role We are looking for an experienced AI Engineer to lead the design, development, and deployment of production-grade Generative AI systems across Eitan Medical. This role spans both our customer-facing SaaS healthcare platforms - Insights and internal organizational systems, and requires strong ownership from idea to production. This is a hands-on, high-autonomy role for a technologist who enjoys learning quickly, working independently, and collaborating closely with product managers, data teams, and business stakeholders to translate real requirements into effective GenAI solutions.
What You’ll Do • Design, build, deploy, operate, and continuously improve production-ready Generative AI systems that support clinical insights, decision support, and intelligent automation. • Integrate GenAI capabilities into SaaS healthcare products as well as internal business and operational workflows. • Work closely with stakeholders across product, data, and internal business teams to understand requirements, shape the solution, and define the AI approach - including internal-facing solutions, not just execution of predefined tasks. • Stay up to date with emerging GenAI technologies and evaluate their applicability to real clinical and business problems. Reports to : Data & ML Team Leader • Digital health

Shape the Future of Cybersecurity with Us Are you driven by deep curiosity, bold innovation, and the desire to transform cutting-edge AI research into real-world cybersecurity impact? Join Cynet, an established yet rapidly growing cybersecurity startup, where you’ll help build next-generation AI-powered security products from the ground up. You’ll be part of a small, elite, cross-disciplinary team working closely with security researchers, R&D engineers, data engineers, and product leaders.
Here, you’re not just joining a company, you’re stepping into a place where you can envision, build, and deploy foundational AI technologies that protect organizations worldwide. You will have the rare opportunity to drive innovation end-to-end, shape our future technology, and create AI systems that make a real difference in defending against modern cyber threats.
This is a role for someone who wants to put their soul into their craft, someone hungry to learn fast, experiment boldly, and turn ambitious ideas into production-ready AI solutions.

What will you do:

* Drive innovation by combining deep security research with modern AI techniques to build impactful, customer-facing security capabilities.
* Build and refine intelligent generative AI agents that drive automated cybersecurity reasoning, investigation workflows, and threat analysis.
* Extend and enhance our next-generation AI antivirus engine by designing new feature representations, building file parsers, and developing ML models end-to-end.
* Engineer and implement core parser and model components in C++ and Python to seamlessly integrate into the Cynet Endpoint Agent and platform infrastructure.
* Use Cynet’s ML experimentation pipelines to run experiments, optimize performance, and deliver production-ready detection models.
* Serve as the cybersecurity expert within the Data Science team, guiding threat modeling, malware understanding, and security-driven AI design decisions.

About Us:
Cynet is a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 24×7 security experts. With a Partner First mindset , we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.
This role follows a hybrid work model in countries where Cynet has offices (Israel, USA), while being fully remote in England, Poland, Italy, and Germany.

We are looking for a highly skilled AI Engineer with a strong engineering mindset to bridge the gap between research and production.
In this role, you will be responsible for validating AI models developed by our Data Science team against real-world production systems, and then leading their optimization, deployment, and ongoing maintenance.
You will be part of the R&D team, working closely with engineers, data scientists, and product managers to ensure our AI solutions are scalable, reliable, and deliver long-term value.
If you enjoy working at the intersection of AI and engineering - bringing models to life in production, optimizing for performance, and building reliable systems - this role is for you!
Responsibilities
Lead the transition of AI models from proof-of-concept to full-scale production, ensuring they meet architectural, scalability, and performance standards.
Build observability and troubleshooting tools for AI services in production, including logging, performance tracking, and failure analysis pipelines.
Optimize inference performance, including latency, resource usage, and throughput, while maintaining model quality.
Manage model versioning and deployment readiness, including handoff processes, rollback plans, and configuration management.
Partner with the Data Science team to assess model readiness for production, validate input and output compatibility, and ensure assumptions align with real-world system behavior.
Collaborate cross-functionally with DevOps, backend engineers and data scientists to ensure scalable, secure, and cost-effective deployment of ML models.