דרושים » הנדסה » AI Specialist for Smart Learning

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 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.

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.

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.

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 environmen (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.

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.

Our team at the Computing Network Innovation Lab is looking for exceptional talent to join us and lead the development of next generation data centers.
We create cutting-edge technologies that synergize software and hardware in tandem to accelerate compute, storage and networking at large-scale. We aim to drive innovations and deliver software defined infrastructure and algorithms to HPC, AI/ML, and Big Data applications.
We are looking for outstanding candidates with hands-on experience in development and optimization of AI frameworks. If you are a team player with excellent communication skills and motivation to revolutionize application performance, youre welcome on board!
What will you be doing?
Work as part of an innovative research team to analyze, develop, test and deploy improvements that enhance Huaweis distributed AI framework.
Develop optimizations that leverage hardware accelerator capabilities, minimize communication overhead and improve training/inference throughput
Research state-of-the-art, distributed AI training and inference algorithms (e.g. FSDP, DDP) to develop accessible model sharding capabilities
Profile different distributed AI training strategies, compare parallelization methods, and identify the main bottlenecks to be optimized on the computation and network communication levels.
Work in a distributed computing environment to optimize for both scale-up (multi-device) and scale-out (multi-node) systems
Utilize advanced concepts such as Uncertainty Quantification, Mixed Precision Computing and Model Sparsity to improve performance and enable training of very large AI models
Collaborate with partners from top universities, and open-source communities to conduct state-of-the-art research.

we are a pioneering force in clinical AI. Our clinical AI imaging solutions help physicians quickly identify and diagnose urgent cases and improve patient outcomes. We analyze and aggregate medical data to enable care teams to work seamlessly with a continued focus on the patient.
Our solutions are used in more than 1000 hospitals, including leading health systems in the US. Funded by some of the industrys leading VCs, our company has raised more than $250 million to date, and was chosen as one of TIMEs 50 most genius companies.
The AI software team is part of the AI Engineering group that is responsible for developing the different AI solutions in our company.
The Senior AI Software Engineer designs and develops the infrastructure required within the entire lifecycle of an AI algorithm. It is a critical role for the companys growth and velocity. You will work in a unique professional culture in which software engineering is a core part of making A.I. excellent.
Responsibilities
Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging.
Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features.
Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems
Develop and maintain high-quality, scalable, and efficient code.
Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems).

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.