דרושים » AI » AI Product Specialist

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 featuresfrom data pipelines and LLM orchestration to intuitive UI experienceswith 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 seek a Lead AI Engineer specializing in prompt engineering and optimizing large language models (LLMs) for real-world applications. In this role, you will not only design effective prompts, improve model responses, and build AI agents, but also take the lead in shaping and delivering the initial AI-powered product for the company. You'll be responsible for driving the technical vision, building from scratch, and leading the implementation of AI-driven capabilities that will become a core part of our product offering.
Responsibilities:
Prompt Engineering: Develop, test, and optimize prompts for high-quality AI responses across different tasks.
Retrieval-Augmented Generation (RAG): Implement RAG-based solutions to improve AI responses using external knowledge bases.
Integration & API Development: Work with software engineers to embed AI features into our product via APIs.
AI Agent Development: Design, build, and deploy autonomous AI agents that can reason, and execute multi-step tasks using LLMs, tools, memory, and APIs.
Experimentation & Evaluation: Continuously refine models using A/B testing, human feedback loops, and AI evaluation metrics.
Stay Updated: Keep up with the latest LLM advancements and best practices in the AI industry.
Product applications: Apply LLMs and agents to real-world scenarios that solve meaningful user problems.
Product implementation: Work closely with the product team to secure delivery is aligned with expected product requirements
Response validation: Implement a process to ensure accurate KPI measurement and consistent, expected outcomes.

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.

provides 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
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

In this role, youll lead a team of top-tier software engineers, owning the architecture, scalability, and seamless integration of AI-driven capabilities into a high-performance, real-time security platform. You'll play a key role in transforming advanced AI technologies into impactful, production-ready solutions.

Our group combines the speed and creativity of a startup with the backing of a global cybersecurity leader. If you're passionate about solving complex technical problems, leading exceptional talent, and building innovative AI-powered systems with real-world impact we want to hear from you.


Key Responsibilities
Lead, mentor, and grow a team of software engineers, fostering a high-performing culture and supporting recruitment, onboarding, and career development
Drive the design, architecture, and technical direction of the AI-powered product, ensuring it meets performance, scalability, and integration goals
Work closely with data scientists, product managers, and engineering teams to align on strategy, execution, and delivery
Ensure robust, scalable, and reliable deployment in production
Stay on top of emerging AI technologies and best practices, evaluating and integrating advancements to keep the product and team at the cutting edge

Are you passionate about AI and machine learning? Do you thrive on rapid experimentation, prototyping, and building innovative tools that solve real business problems?
Do you enjoy diving into unfamiliar technologies, quickly assessing and demonstrating their potential impact?
Were looking for an exceptional AI Innovation Engineer to join the Office of the CEOsomeone who can seamlessly blend deep technical expertise with product thinking and business acumen. In this high-impact role, youll lead AI initiatives that drive both internal efficiency and product innovation, working closely with the CEO, R&D, and Product teams.
Youll take ownership of architecting and building fast-moving PoCs, exploring new technologies, and developing custom solutions that go beyond standard integrations to deliver real business impact.
As an AI Innovation Engineer, you will:
Rapidly design and develop PoCs using cutting-edge AI and ML technologies.
Lead the design and development of AI-powered tools that streamline internal processes and boost productivity.
Build innovative AI features into product suite, focusing on tangible customer and business impact.
Explore and evaluate new frameworks, tools, and approacheswithout being limited to familiar stacks.
Partner closely with Product teams to deeply understand use cases, define requirements, and shape AI-driven solutions.
Work hand-in-hand with R&D and Engineering teams to bring AI concepts to lifefrom ideation to production.
Take ownership of complex technical challenges, architecting AI solutions that are scalable, maintainable, and robust.
Act as a trusted advisor to the CEO, providing insight into the strategic application of AI across the business.
Research, evaluate, and implement emerging AI technologiesprioritizing in-house development of tailored solutions where it creates strategic advantage.
Bridge technical and business worlds, ensuring AI initiatives align with overall company objectives.

Were looking for a Product Manager to lead our companys LLM Infrastructure - a foundational role driving the development of systems that enable smarter, AI-powered decision making across the marketplace.
As the PM for LLM Infrastructure, youll shape the capabilities that turn unstructured data into structured, explainable, and actionable insights. Youll work closely with ML engineers, data scientists, and product leaders to design scalable tools and frameworks that support use cases across personalization, matching, search understanding, trust and safety, and more.
Your mission will be to build reliable and extensible LLM-based systems that serve as core building blocks for future-facing product innovation.
What am I going to do?
Define the product vision and roadmap for our companys LLM infrastructure, aligning with long-term company strategy and cross-team needs.
Lead the development of scalable systems that extract meaning and structure from conversational and behavioral data.
Drive adoption of LLM capabilities across our company by building unified APIs, shared frameworks, and streamlined integration pipelines.
Partner with engineering, data science, and research teams to deliver high-quality infrastructure that powers AI-native product experiences.
Collaborate on system design and architecture decisions to ensure alignment between technical solutions and product scope.
Ensure reliability, scalability, explainability, and performance in all LLM-based systems.
Manage technical complexity and connect infrastructure efforts with clear business value.

We are seeking an innovative AI Manager with an understanding of AI platforms, services, and tools for customer-facing teams. In this role, you will collaborate with Customer Success teams to identify business challenges, uncover growth opportunities, and leverage AI capabilities to bridge the gaps, drive team performance to achieve their KPIs. Key responsibilities include evaluating external AI solutions and collaborating with internal development teams to create custom tools tailored to our needs. Strong communication skills between business and technical teams are essential to ensure the right AI capabilities are matched to achieve desired business outcomes.
Collaborate with CS Team:
Work closely with Customer Success team leads to identify and analyze main pain points, challenges, and areas for improvement.
Conduct thorough assessments to understand team requirements, workflows and KPIs.
AI Solutions Strategy:
Develop and implement AI strategies to address identified pain points and develop new capabilities and insights.
Evaluate and recommend external AI vendors to meet specific needs.
Collaborate with internal dev teams to develop and integrate custom AI solutions.
Stay up-to-date with industry trends and advancements in AI technologies to continuously support the teams as the trusted AI Consultant.
Project Management:
Plan, design, and manage cross-functional projects E2E, ensuring successful delivery.
Oversee the implementation of AI projects, ensuring high quality, timely delivery and alignment with business goals.
Monitor project progress, address issues, and provide ongoing feedback and regular updates to stakeholders.
Additional Responsibilities:
Own CS business processes: drive process optimization, automation, and continuous improvement initiatives.
Translate business requirements into detailed design documents: user stories, solution specs, process diagrams, KPIs measurement & tracking, and reporting.
Build dashboards/reports to track key metrics and manage software that facilitates GTM activities.

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across our company. As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.
What am I going to do?
Take leading roles in foundational AI projects across our company: developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
Continuously identify new opportunities to evolve the platforms capabilities and streamline how AI is built and adopted across our company.

looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, automation, and scalable AI platforms.

If youre an innovator at heart, passionate about leveraging AI to solve complex problems, and thrive in an environment where experimentation and entrepreneurship are encouragedthis role is for you.

Responsibilities:
Develop and integrate AI-powered solutions to enhance engineering productivity, automate workflows, and improve developer efficiency.
Evaluate and implement state-of-the-art AI platforms (ChatGPT, Claude, Gemini, custom models) to solve engineering and operational challenges.
Design and maintain AI-driven internal platforms such as knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Work alongside engineering, DevOps, and product teams to embed AI into everyday development workflows.
Lead Proof-of-Concept (PoC) projects, experimenting with LLMs, generative AI, and automation frameworks to create tangible business impact.
Stay ahead of emerging AI trends, researching and implementing cutting-edge AI models and tools.
Build scalable AI infrastructure that integrates with cloud environments (AWS, GCP, Azure) and engineering toolchains.
Promote a culture of innovation, empowering teams to embrace AI-driven solutions and fostering AI adoption across the organization.

This is a role in our companys core AI group, which specializes in developing cutting-edge AI solutions in healthcare, enhancing medical imaging and diagnostics. As a Tech Leader in the AI Algorithm Engineering group, you will play a pivotal role in both managing end-to-end AI research and development efforts and hands-on involvement in key-initiatives. Your responsibility will include design, implementation, guidance and mentoring for team members, and representing the AI considerations in cross-team discussions. You will leverage your extensive experience to lead multiple AI projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
Responsibilities
Lead the design, development, and implementation of accurate and robust AI algorithms for medical data with a hands-on approach.
Collaborate with cross-functional teams, including data scientists, software engineers, product managers and clinical data experts, to ensure AI considerations have a profound impact on R&D and Product decisions across the projects.
Design and conduct research and experimentation to improve algorithm performance and accuracy.
Stay at the forefront of the latest advancements in AI and machine learning, particularly in the medical domain, and drive their adoption within the team.
Oversee multiple projects, ensuring successful execution, timely delivery and alignment with product and business objectives.
Provide strategic direction and technical mentoring to elevate the capabilities of the AI team.