לוח משרות דרושים הייטק AI משרה מלאה

we are seeking a Senior AI Researcher Reporting to CEO .
This role is pivotal , aimed at addressing some of the AI industry's most complex challenges. Senior AI Researcher will act as a versatile 'joker card' within the R&D, stepping in to expedite projects, solve bottlenecks, and provide specialized expertise as needed.
This role is designed to minimize latency and accelerate outcomes across various technical domains within the company. The ideal candidate will have strong technical expertise, excellent coding skills, and the ability to solve problems effectively.
The role doesn't include managerial responsibilities but does involve close collaboration with internal teams and the capability to inspire and guide staff. As a professional authority within our teams, the Technology Director will improve quality and speed up problem resolution. Adeptness in analyzing complex issues quickly, switching contexts when needed, and fostering a culture of growth and technical excellence is also desired

we are a fast-growing AI powered mobile games publishing company by Unity. We work with game studios worldwide to help them build, scale, and operate successful mobile games using cutting-edge technology.Were looking for a Staff AI Engineer to join our growing AI and engineering group. This is a highly impactful role for someone who wants to shape how AI is embedded across products, platforms, and business operations-from early experimentation to production-scale systems.
As a Staff AI Engineer, youll operate end-to-end: identifying opportunities, designing solutions, and delivering real business value using modern AI and LLM-based systems.
What you'll be doing:
Design, build, and deploy AI-powered solutions across Supersonics products and internal platforms
Partner closely with product, data, engineering, and business stakeholders to identify and execute high-impact AI use cases
Architect and implement agentic workflows using frameworks such as LangChain, LangGraph, or equivalent
Integrate and operate LLMs via SDKs, including prompt design, structured outputs, tool/function calling, and guardrails
Lead technical decisions around AI evaluation, monitoring, observability, and quality measurement
Own AI initiatives from concept through production, including iteration, scaling, and long-term maintenance
Stay up to date with emerging AI technologies, models, and best practices, and help bring them into production thoughtfully

As an AI Engineer, youll build full-stack features that deliver seamless user experiences - combining robust engineering with advanced AI capabilities.

Responsibilities:
Design and deploy agent-based systems for real-world use cases.
Build end-to-end features: backend APIs, data models, and React-based UI.
Integrate AI and agentic logic into the core product.
Develop backend pipelines for autonomous agents and workflow automation
Optimize model accuracy, reliability, and performance.
Work closely with product, data, and UX teams to align AI with business and user needs.

We are seeking a skilled Backend Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.
About the Role:
You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.

This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. Youll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response.
The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation.
What Youll Do
Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics.
Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines.
Publish and share: produce our company Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty.
Build tools: Several open source libraries exist (like Anthropics attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments.

Were looking for the newest member of our DevX group, where you'll have the unique opportunity to develop AI-based solutions aimed at boosting productivity at our company and redefining our Software Development Lifecycle (SDLC).
As a Principal AI engineer at our company you will.
Recommend and test agentic productivity tools.
Collaborate with key organizational stakeholders to understand AI requirements and design end-to-end AI productivity solutions.
Explore and experiment with novel ML and AI techniques and architectures to drive DevX and productivity innovation.
Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness.
Provide technical guidance and mentorship to development teams on AI and ML technologies and practices.
Define meaningful KPIs and closely monitor cost.

our AI Division is seeking a highly skilled and strategic Senior Director of AI Product to lead the definition and execution of our AI product vision. This role is pivotal in shaping the divisions AI strategy, managing the end-to-end product roadmap (hardware and software), and driving market success through deep customer insight, competitive differentiation, and strategic partnerships. The Senior Director will also be responsible for market positioning and sales enablement materials. , This role partners closely with R&D, technology, marketing, sales, and finance teams to accelerate AI-driven business growth.
Key Responsibilities:
Product Portfolio, Roadmap, and Value Proposition
Define and manage the full product portfolio (NPU IP, software stack, and AI toolchain), including roadmap, lifecycle, and prioritization.
Accountable for product definition, value proposition, and differentiation strategy across verticals and use cases.
Ensure cross-functional alignment between Architecture, engineering, marketing, and sales on product goals and delivery timelines.
Customer, Market, and Competitive Analysis
Lead deep analysis of customer needs, pain points, and end-to-end application flows across target verticals.
Monitor competitive landscape and benchmark against leading AI solutions and IP providers.
Translate market insights into actionable product and business decisions.
AI Strategy Definition
Partner with executive leadership to develop and continuously refine the divisions AI strategy in alignment with corporate vision and evolving market trends.
Collaborate with technology leadership to identify emerging technologies, use cases, and industry shifts that inform short- and long-term product direction.
Partner with executive leadership to align strategy with business goals, resource planning, and investment priorities.
Market Positioning and Sales Enablement
Shape the divisions market positioning and messaging to clearly articulate product value and competitive advantage, with a focus on accelerating AI business growth.
Partner with sales teams to develop sales enablement materials including product briefs, competitive positioning guides, and pitch decks.
Partner with sales teams to support strategic customer engagements, including pre-sales activities, technical discussions, and deal shaping.
Represent the product vision and strategy in key customer meetings and industry events

Were looking for a talented AI researcher to join our data science group and help train the next generation of GenAI models. The Data Science group leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product, optimize processes, and deliver personalized experiences.
In your day-to-day, you will:
Conduct advanced research that will impact 250M+ users
Build and train state-of-the-art text / code / image generation models to cornerstone our multimodal comprehensive AI design pipeline
Build horizontal AI capabilities to be used across
Collaborate with other internal departments to drive impactful data-driven projects.

Were looking for a talented AI research team lead for the Data Science group, to help us develop advanced AI solutions that will empower impactful projects across. The Data Science group leads the AI research and innovation efforts of the company, and is focused on pushing AI boundaries to enhance the product, optimize processes, and deliver personalized experiences.
Lead a team of AI researchers
Manage and conduct advanced hands-on research projects that will impact 250M+ users
Leverage the latest advancements in LLM customization, multimodal models, knowledge representation, and conversational AI
Build horizontal AI capabilities to be used across
Collaborate with other internal departments to drive impactful data-driven projects.

What We Are Looking For As a GenAI Security Team Lead, you will lead a team of GenAI researchers, combining both strategic and hands-on, big-picture planning with direct technical contributions. Your primary responsibility will be managing a GenAI-focused team, while fostering a culture of innovation and excellence, providing comprehensive training, guidance, and leadership while ensuring high-quality deliverables. The position balances managerial responsibilities with hands-on technical work (approximately 25%) Key Responsibilities
* Recruit, mentor, and manage a team of GenAI researchers
* Regularly share knowledge with team members and collaborate across departments
* Evaluate and enhance team performance and deliverables quality
* Lead development of automated test harness, continuously evaluating prompts across multiple GenAI models to expose vulnerabilities and measure guardrail effectiveness.



About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

What We Are Looking For As a Red Team Specialist focused on GenAI models, you will play a critical role in safeguarding the security and integrity of commercial cutting-edge AI technologies. Your primary responsibility will be to analyze and test commercial GenAI systems including, but not limited to, language models, image generation models, and related infrastructure. The objective is to identify vulnerabilities, assess risks, and deliver actionable insights that strengthen AI models and guardrails against potential threats. Key Responsibilities
* Execute sophisticated and comprehensive attacks on generative foundational models and agentic frameworks.
* Assess the security posture of AI models and infrastructure, identifying weaknesses and potential threats.
* Collaborate with security teams to design and implement effective risk mitigation strategies that enhance model resilience.
* Apply innovative testing methodologies to ensure state-of-the-art security practices.
* Document all red team activities, findings, and recommendations with precision and clarity.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

Hybrid:
Yes

Were seeking a visionary and technically hands-on AI Team Leader to join us and take charge of driving innovation across our core AI systems. As the AI Team Leader, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform. You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.

This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.

Key Responsibilities:
Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiatives-identify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

we're looking for a passionate, curious AI Adoption Specialist to join our R&D team!
we are 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 impact-this 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.

It starts with you - an AI Engineering Team Lead responsible for leading a team building production-grade agentic systems. This role combines hands-on technical leadership with people management, ownership of architecture, delivery, and quality across agents, MCP tools, agentic workflows, RAG systems, and evaluation.
If you want to grow your skills building AI products for mission-critical AI, join mission - this role is for you.
:Responsibilities
Lead and mentor a team of AI Engineers building agentic systems and MCP tools.
Own technical direction for agent architectures, workflows, and LLM evals.
Review designs and code; ensure production readiness, reliability, and security.
Drive adoption of frameworks such as LangChain, LangGraph, or equivalent.
Set standards for RAG pipelines, vector databases, and retrieval quality.
Partner with product and platform teams on roadmap, scope, and delivery.
Balance hands-on contribution with people management and execution.
Build a culture of strong engineering practices, measurement, and iteration.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI systems and ML pipelines to join our AI group. You'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and ML pipelines. Youll work closely with data scientists to translate research into scalable solutions and manage model deployment in both cloud and on-prem GPU environments.
:Responsibilities
Design, build, and deploy production-grade ML models, AI agents, and end-to-end pipelines across cloud and on-prem GPU environments.
Maintain and optimize ML systems for performance, scalability and reliability, including model validation, inference speed, and resource efficiency.
Develop monitoring and observability tools such as alerts and performance metrics to ensure system stability in production.
Create and integrate APIs for ML services within microservice-based architectures.
Drive adoption of best practices for CI/CD, observability, and reproducibility in ML systems.