Forward Deployed Engineering Manager

Lead and manage teams in CV and ML.

Architect and enhance hybrid cloud-edge ML solutions.

Create automated visualization workflows.

Train AI systems on visualization best practices.

Enhance AI understanding of regulations

Consult on compliance system integration

Own the vision and strategy for the Core Platform.

Define the System of Record for inter-team communications.

Lead a team focused on applied AI systems.

Design and build automation systems.

Serve as a technical authority for key accounts.

Advise on technology strategy and enterprise transformation.

Own the integration roadmap for Connected Stores.

Drive end-to-end delivery with various teams.

Lead scalable clinical operations for multi-site trials.

Establish standardized processes for site startup and monitoring.

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

Support and refine Generative AI models.

Generate and evaluate coding prompts for AI.

Design and optimize AI prompts and workflows for finance.

Ensure AI system reliability and decision-readiness through rigorous testing.

Enhance AI reasoning with expert mathematics knowledge

Create and refine high-quality mathematics content

Enhance AI models with expert physics knowledge

Create and refine high-quality physics content

Evaluate and refine chemistry content for AI

Develop and apply quality rubrics for responses

Improve AI models with physics expertise

Create and evaluate challenging prompts

Support AI model development with expert mathematics input

Evaluate and refine AI-generated mathematical responses

Shape and improve AI models for automotive engineering.

Create and evaluate challenging prompts for AI training.

Enhance AI with civil engineering expertise

Generate and evaluate AI prompts

Ensure high-quality automotive engineering content for AI projects

Assess and onboard qualified domain experts

Develop and refine technical AI training content

Evaluate and support expert onboarding and qualification

Enhance AI models with civil engineering expertise

Create and refine technical content

Ensure quality of AI outputs

Review and refine AI prompts

Design and deploy intelligent AI agents.

Integrate and fine-tune LLMs for specific applications.

Enhance AI models with Physics expertise

Create and refine training content

Ensure quality and accuracy in AI training content.

Evaluate and onboard expert contributors.

Refine and create AI training content

Audit and improve quality of expert tasks

Create and refine AI training content

Assess and onboard qualified domain experts

Train AI models with domain expertise

Create and evaluate AI prompts

Enhance AI chemistry content quality

Evaluate and refine expert-generated responses