לוח משרות דרושים AI Engineer בתל אביב יפו

We are seeking a talented and passionate individual to join our team as a Generative AI Technical Expert. As a key member of our AI squad, you'll have the opportunity to dive deep into the fascinating world of generative artificial intelligence and help shape organizations use of these capabilities.
Responsibilities
Develop cutting-edge generative AI models, algorithms, and architectures that push the boundaries of what is possible
Collaborate with cross-functional teams to identify and solve complex problems using generative AI techniques
Stay up-to-date with the latest advancements in generative AI research and apply them to practical applications
Design and implement experiments and simulations to validate and improve the performance of generative AI models
Provide technical expertise and guidance to internal teams and stakeholders on generative AI-related projects.

we are looking for a Software Engineer to join our AI Applications team.
The AI applications team is working as an end to end value stream function, delivering product solutions from the very beginning of an idea towards the final user experience, where the main expertise is around products that require AI abilities.
You will be responsible for developing, iterating, and maintaining AI based user experiences on a variety of destinations on the platform. You will be a part of a multidisciplinary team of Product engineers, AI researchers, data scientists and Machine learning (ML) Engineers, you will work with the most recent AI tools and abilities in the industry, and will take a key role in shaping how those will make an impact on customers.
Responsibilities:
Collaborate with design, front-end, and ML engineers to develop and implement new features for platform.
Build scalable services and applications to support large-scale platform.
Write clean, efficient, and well-documented code. Actively participate in code reviews and quality assurance processes.
Work in a cross-functional team, closely collaborating with front-end, back-end, and AI developers to ensure seamless integration and optimal performance of front-end features.
Identify opportunities to improve our architecture and tooling across multiple levels of the stack.
Continuously research and explore new technologies, tools, and techniques to stay up-to-date with the latest trends and best practices.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Innovation Team
At our company, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether its real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If youre excited about shaping the future of media tech, youll fit right in.
On your day to day
We are looking for a brilliant and highly motivated AI Engineer with a focus on NLP to join our team that is revolutionizing how audio and video content is transcribed, analyzed, understood, and edited. You will work closely with our product and other engineering teams, as your research and development will serve as the core of the most cutting-edge features of our mobile and web applications. You will conduct research, identify trends, and explore new methodologies to enhance the performance, efficiency, and scalability of our AI systems, while leveraging the latest tech to push the .boundaries of innovation in product and bring the most value to our customers.

We're Hiring: Senior/Technical Leader/VP of Engineering and AI to lead a dev team with deep experience in
Distributed systems and architecture design
DevOps infrastructure
AI/ML, LLMs, MLOps
Scaling systems (cloud and on-prem)
We're building Argu.ai atop tier startup that's backed by the world's top 3 VCs
and redefines how machines understand video and real-world environments.
We're looking for a super-star technical leader. HandsOn by nature, but with leadership skills. This is a chance to lead and build systems that power some of the most known and high-profile places on earth, handle millions of users.
What You'll Own
Architect, build, and scale on-prem and cloud distributed systems
Lead infrastructure design and building for video streaming at scale (RTSP, WebRTC, HLS)
Build systems that support insanely high data traffic, especially streaming data.

A Research Engineer supports Applied Scientists in the team by helping to build tools, experiment frameworks, and infrastructures. A Research Engineer may be called to directly facilitate science benchmarking, and deep dive on any deep learning related technical problems. He/she may be called to lead or facilitate a joint project between science and engineering team.

Key job responsibilities:
* Participate research and development: direct or indirectly contribute to developing latest Retrieval Augmented Generation technologies, fine-tuning techniques for embedding models and LLMs.
* Tool development: build and improve toolings that applied scientists would need, including scalable science experiment frameworks, low-latency testing pipelines, data collection/annotation/evaluation web applications.
* Expedite science to production: bridge the gap between science and engineering teams, help to investigate and mitigate gaps between science and engineering pipeline. Help to merge both pipelines to one, or making components within the two interchangeable. Work towards a fast science-to-production paradigm.
* Science code quality control: serve as gate keeper, review and hold science code quality to production standard.
* Manage science infrastructure: act as admin to manage all science AWS account, including patch any security risks, build templates, AWS Cops, conduct cost reduction operations.

We are growing, and we're looking for a passionate, curious AI Adoption Specialist to join our R&D team!
We are a SaaS B2B solution solving one of the biggest challenges in finance: transforming scattered Excel-based processes into streamlined, cloud-based systems. We help finance professionals gain control, clarity, and insight over their data from reports to forecasts to deep analytics. Now, were ready to take the next step by embedding AI into the way we build software. This is where you come in: helping our R&D teams embrace AI-powered development tools, workflows, and possibilities. If you're excited about exploring the latest AI technologies, influencing engineering culture, and making a real impactthis is the role for you.
What You'll Do:
Drive the adoption of AI-based development tools and workflows across the R&D organization.
Identify, evaluate, and experiment with emerging AI technologies that can enhance developer productivity and code quality.
Work closely with developers, team leads, and stakeholders to integrate AI into day-to-day development processes.
Act as a cross-team enabler, helping teams overcome technical and cultural barriers to AI adoption.
Lead internal initiatives, workshops, and knowledge-sharing sessions to promote AI-driven practices.
Stay up to date with the latest AI tools, SDKs, and developer-focused platforms, and assess their relevance to our tech stack and workflows.

We are seeking a talented and passionate AI Specialist to join our innovative team in Tel Aviv. As an AI Specialist, you will play a pivotal role in pushing the boundaries of art creation by leveraging the power of artificial intelligence.

You will be instrumental in advancing our art creation processes by harnessing the capabilities of artificial intelligence. You will focus on developing, training, and implementing AI models and tools to enhance visual development for our games and marketing efforts.

Responsibilities:
Train, fine-tune, and implement cutting-edge generative AI models tailored for artistic applications, exploring various techniques and datasets for image, video, and 3D asset creation.
Design, develop, and optimize user-friendly tools integrating AI models (e.g., for image/video generation/analysis, content creation) to empower artists and designers. Integrate AI APIs into existing production pipelines.
Work closely with art, design, and development teams to integrate AI-generated assets and tools into game development workflows, marketing materials, and other creative projects.
Stay up-to-date with the latest advancements in AI technology and techniques relevant to art creation, championing exploration and implementation to push creative boundaries.

Were searching for a passionate and experienced hands-on AI Architect to join our team.

With a wide array of responsibilities and corresponding impact, youll help spearhead our product offering and wear multiple hats at a fast-growing, dynamic, early-stage company.

Responsibilities
Design, develop, and drive design processes and products that incorporate Generative AI (LLMs), models and knowledge Retrieval in order to help patients across the US.
Design and define data pipelines and evaluation pipelines.
Coach teams on best practices for datasets and building data sets.
Build applicative AI in production on a large scale.
Build solutions for different mediums including voice products with minimal latency and high accuracy.
Build an internal tool system to allow scientific evaluation.
Implement and lead new AI strategies by designing and implementing complex functionality and/or integrating with 3rd parties.
Continuously improve our existing NLP capabilities to help patients across the US answer any question, schedule appointments with their doctor, refill their prescriptions, and much more.
Use best practices and SOTA from the AI industry but also push the envelope to new heights.

As the AI Lead , you will lead a team in charge of the development and implementation of our cutting-edge Conversational AI engine, the brain behind our virtual assistants, that revolutionizes patients' access to care across the United States. You will set the strategic direction for our AI initiatives such as generative AI, drive innovation, and lead a team of experts to build scalable, reliable, and robust AI-powered products. This position will report to the VP of Engineering.

Responsibilities
Hands-on research and development: Design, develop, and implement products incorporating Generative AI, Knowledge, training models and more. Lead AI research, and integrate successful research to production fast.
Team Leadership: Lead, mentor, and scale the AI team, fostering a culture of high standards and innovation.
Product Integration: Collaborate with executive leadership such as VP product and CTO to manage the incorporation into products.
Architecture: Experience in building scalable and reliable production systems and services, including system design, databases, and MLOps.

We are seeking a talented Software Development Leader with a strong background in Large Language Models (LLM) and GenAI engineering.
This is a unique opportunity to work with our US clients and engage in global projects, leveraging your extensive skills in generative AI tools.
As a pivotal member of our team, you will be responsible for translating complex business problems into data-driven solutions, drafting methodologies, and executing innovative projects. In this role you will:
Lead development of robust, efficient, and scalable Python code, ensuring adherence to best practices in software engineering and optimization for high-performance applications.
Utilize GenAI engineering tools such as LangChain, RAG, Agents, and Vector Database for implementation and optimization.
Stay updated with AI protocols and standards and ensure their correct application in projects.
Collaborate with other teams and team members to understand requirements and develop solutions.
Analyze complex problems, identify and define the computational requirements to solve them.

We are seeking a talented AI engineer with background in Large Language Models (LLM), and GenAI engineering.
The ideal candidate will have professional experience programming in Python and a solid understanding of AI protocols and standards.
In this role you will:
Implement effective and scalable Python code.
Develop and implement GenAI applications including Large Language Models (LLM).
Utilize GenAI engineering tools such as LangChain, RAG, Vector Database for implementation and optimization.
Stay updated with AI protocols and standards and ensure their correct application in projects.
Collaborate with other team members to understand requirements and develop solutions.
Analyze complex problems, identify and define the computational requirements to solve them.

At our company, we develop AI processors that push the boundaries of performance and efficiency.
Were looking for a strong C++ developer to help design and implement critical parts of our dataflow compiler the toolchain that compiles real-world AI models, including cutting-edge GenAI workloads, to run on our hardware.
In this role, youll work on graph algorithms and optimizations, resource allocation, mapping, and hardware-specific features. Youll need to dive deep into machine learning model structures and concepts, while building a strong understanding of hardware architecture memory, compute, bandwidth, and parallelism.
Expect to tackle real-world challenges, go deep into the stack, and make a direct impact on the performance and capabilities of our companys products.
Responsibilities
Design and develop a multidisciplinary system for machine learning.
Work in different SW environments: C++, Python, AI frameworks.

were looking for an AI Product Specialist. In this individual-contributor role, you'll design and build production-ready AI agents, shape our prompt strategy, and ensure every customer-facing team can confidently demo and customize the Builder.

Youll spend approximately 60% of your time on hands-on agent building and prompt engineering, 30% on outbound enablement and GTM support, and 10% on special initiatives such as internal hackathons.

Responsibilities

Own the end-to-end design and development (mostly vibe-coding) of AI agents on our Builder platform, coordinating with stakeholders and ensuring clear, timely communication throughout the process.
Craft, test, and iterate prompts; establish reusable templates and guardrails to ensure the best user experience, trust, and consistent brand voice.
Collaborate closely with customer-facing teams to refine customer-tailored prompts and continuously improve product experience.
Identify new agent opportunities through market research, customer interviews, and field feedback; translate insights into a prioritized backlog.
Enable customer-facing teams (Solutions Engineering, CSM, Sales), Product, and Engineering teams with demo environments, playbooks, decks, and demo-in-a-box kits; run live enablement sessions and certification programs.
Track adoption KPIs of the AI Buildertraining completion, agent usageand present monthly scorecards to leadership.
Lead special initiatives, such as internal hackathons, to spark innovation and develop new production agents.
Serve as the primary subject-matter expert for advanced AI Builder questions, troubleshoot issues, and gather feedback for the product roadmap.

Were seeking an experienced AI/ML Platform Engineer to join our Foundations team, the group behind our next-generation GenAI platform powering innovation across the company and beyond. This team is building scalable, high-performance AI systems for both internal users and external customersdesigned to run seamlessly across cloud and on-premise environments using the latest advancements in hardware. In this role, youll lead efforts in distributed training, inference at large scale, resource optimization, and robust model lifecycle management using MLOps best practices. Your work will be critical to accelerating research, supporting production-grade AI infrastructure, and driving the development of our internal AI ecosystem.
Responsibilities:
Architect and build scalable ML infrastructure for training and inference workloads across heterogeneous compute environments (on-premise and cloud).
Design and implement distributed systems to support model lifecycle management from data ingestion and preprocessing, to training orchestration and deployment.
Optimize performance and cost-efficiency of large-scale model training and serving pipelines using technologies like Ray, Kubernetes, Spark, and GPU schedulers.
Collaborate with AI researchers, data scientists, and product teams to understand their workflows and translate them into reusable platform services and APIs.
Drive adoption of best practices for CI/CD, observability, and reproducibility in ML systems.
Contribute to the long-term vision and technical roadmap of the ML platform, ensuring it evolves to meet the growing demands of AI across the company.

We are looking for an experienced AI/ML Engineer to join our Applications team within our platform engineering group. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and ML pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model deployment both in cloud environments and on-premises using GPUs and CUDA. Youll optimize and implement ML models, workflows, and AI agents to ensure high performance and reliability in production environments.
Responsibilities:
Design, implement, and deploy ML models, AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust ML pipelines and systems.
Deploy models on cloud and on-premises GPU servers.
Optimize system performance, including model inference, scalability, and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.