לוח משרות דרושים AI Engineer

We are seeking a skilled AI/ML engineer with strong software development skills to join our dynamic team. The ideal candidate will have experience in model evaluation, improvement, and analysis, as well as hands-on experience with AI and GENAI technologies. Knowledge of AWS and GPU computing is an advantage. Experience with RAG-based projects and vision language models is a significant advantage.
Key Responsibilities:
Evaluate and improve machine learning models.
Perform statistical analysis and interpret model results.
Develop and implement AI models using Python.
Utilize AWS services for model deployment and management - advantage.
Leverage GPU computing for accelerated model training and inference - advantage.
Collaborate with cross-functional teams to integrate AI solutions into products.
Stay updated with the latest advancements in AI and machine learning.

Deloitte is looking for a seasoned Tech Lead.
This role is a fantastic opportunity for professionals eager to steer critical projects over the years and are ready to apply their expertise to drive the success of complex projects.
This role will be involved in development at varying levels of detail, identifying requirements and translating documented user stories and requirements into a technical approach, to spending time hands-on coding building out functionality, overseeing sprint planning and ongoing development and deliverables, maintaining code quality, and meeting deadlines.
Execute multi-tenancy and business configurability patterns to ensure efficient distribution to multiple client

We are seeking a passionate Generative AI Builder to join our Engineering team and work directly with our development teams to accelerate the adoption of GenAI tools and establish best practices. Reporting to the VP R&D you will be embedded within our development organization to drive hands-on implementation, create effective workflows, and empower developers to leverage cutting-edge AI capabilities in their daily work.
What youll do:
Direct Developer Support & Enablement
Work side-by-side with development teams to implement and optimize GenAI tools in real-world projects
Provide hands-on guidance for integrating AI coding assistants, code generation tools, and automation workflows
Troubleshoot implementation challenges and help teams overcome adoption barriers
Tool Implementation & Workflow Design
Evaluate and pilot new GenAI development tools across different technology stacks
Design and document standardized workflows for common development tasks using AI assistance
Create custom integrations and configurations tailored to our specific development environment
Process Development & Optimization
Establish GenAI coding standards, guidelines, and quality assurance processes
Design efficient workflows that maximize developer productivity while maintaining code quality
Develop feedback mechanisms to improve AI-assisted development practices continuously
Training & Knowledge Transfer
Conduct hands-on workshops and training sessions on GenAI tools and techniques
Create practical tutorials, code examples, and documentation for immediate developer use
Mentor development teams on advanced prompt engineering and AI-assisted coding strategies
Innovation & Experimentation
Stay current with emerging GenAI tools and evaluate their potential impact on development workflows
Run proof-of-concept projects to test new AI capabilities and use cases
Share insights and learnings with the broader engineering organization.

mission is to power any video experience for any organization live, on-demand, or real-time. We not only want to make using video simpler, but we also want to better peoples lives through video. Founded in 2006, now a global leader in the video market with millions of people using our products daily to teach, learn, watch, connect, and collaborate. Among our customers, youll find more than 1000 global, well-known organizations.

15+ years since starting the company, we continue to foster a diverse and collaborative work environment where everyone gets a say. Our team is currently 700+ people, and were still growing. We have offices in New York, London, Singapore, and Tel Aviv, but our technology is all in the cloud.
a fast-paced environment where initiative is always encouraged. Together with our hybrid work model and flexible state of mind, you get the right conditions for creative juices to flow freely. Thanks to our long line of products, cultivation of rich collaborative culture and care for each , youll never run out of room to grow and evolve.
If you dont meet 100% of the requirements below thats okay, nobodys perfect! We believe in hiring people, not just a list of skills. We encourage you to apply if you think this is a role that would make you excited about coming to work every day.

The role
As a AI Tech Lead, youll be at the forefront of innovation, crafting and deploying AI features that revolutionize our video SaaS products. Imagine collaborating with brilliant minds across engineering, product, and design teams, bringing your AI-driven solutions to life and transforming user experiences and operational efficiencies. If youre passionate about data science, machine learning, and AI technologies, and thrive on turning complex data insights into groundbreaking product enhancements, this is the perfect opportunity for you!

The day-to-day:
Develop and implement AI models and algorithms to enhance video SaaS products.
Collaborate with product managers, engineers, and designers to integrate AI features seamlessly into the product.
Analyze large datasets to extract actionable insights and drive data-informed decisions.
Build predictive models to improve user experience, engagement, and retention.
Design and conduct experiments to validate the impact of AI features on product performance.
Continuously monitor and optimize AI models in production to ensure high performance and accuracy.
Stay updated with the latest advancements in AI and machine learning to bring innovative solutions
Communicate findings and recommendations to stakeholders in a clear and concise manner.

Were looking for a hands-on, product-minded AI professional to help us tackle real-world cybersecurity challenges using existing LLM technologies (like OpenAI, Claude, Bedrock, and more). Youll be part of the Product & AI team, working closely with product managers, engineers, and internal stakeholders to translate problems into smart, working AI-powered solutions.
This is not a researcher or data science role. Its a solution-driven, execution-oriented position for someone who knows what LLMs can do, and how to make them deliver value today.

Key Responsibilities:
Design AI-powered solutions using off-the-shelf tools and APIs (prompting, chaining, agents, etc.)
Collaborate with product and R&D teams to deliver working features and PoCs
Own the how of AI: from idea to prototype to functional integration
Track AI industry trends and apply relevant ideas and tools
Act as a cross-functional bridge between product, tech, and innovation

What We Offer:
A product-driven AI role with real-world impact
A collaborative, innovation-focused environment
The opportunity to shape how GenAI powers critical systems in the automotive cybersecurity space

We are seeking a talented AI Engineer to join our dynamic team and help build cutting-edge AI-powered applications. You'll work at the intersection of modern web development and artificial intelligence, creating intelligent solutions that leverage the latest in AI frameworks and cloud technologies.

Responsibilities
What Youll Be Doing

Design and develop AI-powered applications using LangChain and LangGraph frameworks
Implement and optimize Model Control Protocol (MCP) integrations for AI agent workflows
Create sophisticated prompting strategies and prompt engineering solutions
Build robust backend services using Node.js and NestJS
Design and manage data pipelines with MongoDB and Redis for caching and session management
Collaborate with cross-functional teams to integrate AI capabilities into existing products
Research and implement emerging AI technologies and best practices
Optimize AI model performance and cost-effectiveness
Write clean, maintainable, and well-documented code

The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on on NextSilicons unique hardware architectureunlocking a new level of performance

We are seeking a talented engineer with extensive experience in modelling, analyzing and optimizing AI workloads and end-to-end flows. This position lies at the intersection of computer science, hardware architecture and ML computational algorithm.

Responsibilities:
Model AI workload behavior on custom hardware and software
Identify bottlenecks and propose optimizations in hardware architecture and software.
Define next generation software requirements and specifications.

Were looking for a Senior AI Engineer to join our team and help build cutting-edge solutions at the intersection of Generative AI, traditional Machine Learning, and software engineering. This is an exciting opportunity to work on transformative projects that shape the future of intelligent systems.
What Youll Do:
Design, develop and deploy Generative AI systems, including LLM-based pipelines, multi-agent systems, and retrieval-augmented generation (RAG).
Design, develop and deploy Generative AI and ML pipelines for tasks like classification, clustering, ranking, and recommendation.
Lead experiments and evaluate models using appropriate benchmarks and metrics.
Collaborate cross-functionally with product and other R&D teams to bring intelligent features into real-world applications.
Write clean, efficient, and well-tested Python code to support experimentation, training, and production use.
Contribute to engineering best practices and knowledge sharing.

We are looking for a AI Security Engineer.
What Youll Do:
Design and implement best-in-class security measures for the entire AI/ML lifecycle from data pipelines and model training to deployment and inference.
Address risks like model theft, data leakage, prompt injection, adversarial attacks, model inversion, deepfake phishing, and misuse of LLMs or vector databases.
Lead threat modeling activities across AI/ML pipelines, RAG platforms, and use cases, and contribute to broader risk assessments and incident response strategies.
Partner with R&D, MLOps, DevSecOps, and SecOps to ensure secure and ethical practices in AI usage, procurement, and model governance. Work with Red Teams to simulate AI-enabled attacks and develop countermeasures.
Develop protections for internal AI agents and LangChain/RAG/AutoGen-based systems. Build and maintain libraries for prompt sanitization, input/output policy enforcement, and adversarial defense. Collaborate with developers to create layered prompt chains resilient to injection and context confusion.
Integrate anomaly detection for prompt payloads, fine-tune poisoning, agent hallucinations, and monitor for AI-specific threats across environments.