AI Product Designer

Define UX vision for AI experiences.

Lead AI initiatives from concept to launch.

Define the UX vision for AI experiences.

Lead and execute AI initiatives from concept to launch.

Design end-to-end product experiences across web and mobile.

Create conversion-focused user flows and interfaces.

Define and evolve UX vision for AI experiences.

Lead AI initiatives from concept to launch.

Lead discovery sessions for customer requirements.

Translate technical needs into actionable integration plans.

Support the Remarketing API team.

Own and manage parts of the API roadmap.

Design end-to-end product experiences.

Rapidly prototype based on feedback.

Design end-to-end product experiences.

Focus on conversion rate optimization.

Design end-to-end experiences for web and mobile.

Focus on conversion-driven flows and funnels.

Identifying target accounts and their needs through research

Crafting personalized outreach messaging

Develop and enhance conversational AI models.

Optimize chatbot functionality through machine learning algorithms.

Manage product roadmap and strategy

Collaborate with cross-functional teams

Lead product strategy for voice AI

Manage remote, cross-functional teams

Develop and improve AI systems, Build APIs and backends, Design features for AI products, Train

ls from scratch, Ensure AI

Design and customize conversational AI experiences

Integrate AI with backend systems and APIs

Drive enterprise account growth in AI

Identify and close new business opportunities

Drive enterprise adoption of Audio AI

Build and manage key customer accounts

Expand enterprise adoption of Audio AI

Generate and close high-value sales opportunities

Launch enterprise AI Agents reflecting brand identity

Innovate with new tools for building agents

Designing AI agents for health improvement

Developing multi-agent systems for member experience

Develop and maintain Python code for data analysis, model evaluation, and AI workflow automation.

Design and refine prompts for LLMs to optimize conversational performance.

Improve quality, usefulness, and reliability of conversational AI systems

Evaluate and enhance general chat behavior in large language models

Improve general chat behavior in large language models

Assess and provide feedback on model-generated responses

Advise healthcare customers on AI strategies

Design and refine conversational AI agents

Lead development, optimization, and ongoing management of conversational AI agents

Own end-to-end lifecycle of AI agents including prompt engineering, design, testing, deployment

Define and evolve UX vision for AI experiences.

Lead AI initiatives from concept to launch.

Enhance AI chatbots using real data.

Clean and organize text data for model improvement.

Define the UX vision for AI experiences.

Lead and execute AI initiatives from concept to launch.

Build and productionize advanced AI systems

Develop scalable LLM-powered applications and agents

Build and deploy scalable AI systems for production use.

Develop advanced multi-agent architectures and conversational AI.

Lead hands-on AI developer sprints

Mentor and enable developers in generative AI

Transform education and productivity through AI

Ensure high-quality labeled data for model training

Enhance AI's Hebrew language understanding

Identify and document model language errors

Develop LLM-powered agents for contact centers

Enhance customer engagement through actionable AI insights

Develop and deploy LLM-powered agents

Enhance customer engagement with AI solutions

Benchmark and improve AI model capabilities

Design consulting-style prompts and evaluations

Design and scale generative AI infrastructure

Develop and fine-tune generative video and visual models

Lead AI Agent Pilots & Implementations

Understand & Map GTM Workflows

Hire a senior prompt engineer

Enhance SMS marketing software

Develop and optimize generative AI models for enterprise clients

Lead and enhance large language model training and fine-tuning

Develop and optimize large language models for business impact.

Integrate LLM-powered features into sports betting products.

Build scalable AI agents for legal solutions

Implement Retrieval-Augmented Generation pipelines

Contribute to AI model improvement

Generate and review coding prompts

Contribute to training and evaluating AI models

Review and ensure quality of code and data

Migrate C/C++ code to Rust

Test and validate migrated code

Develop scalable AI microservices for revenue intelligence

Implement and optimize LLM-based retrieval and summarization features

Train AI models with finance expertise

Evaluate and improve AI-generated finance content

Enhance AI model reasoning and accuracy

Utilize journalism expertise in AI projects

Train generative AI using domain expertise

Evaluate and correct AI model responses

Train AI models with accounting expertise

Evaluate and improve AI-generated content