Applied AI Engineer

Define and execute data science strategy.

Lead AI/ML initiatives in healthcare/insurance.

Drive the development of GenAI-powered labeling systems.

Identify improvements in quality, speed, coverage, and cost using LLMs.

Gather requirements from internal teams.

Translate requirements into AI solutions.

Develop AI agents for customer support.

Translate CX needs into AI solutions.

Automate network and systems defense.

Leverage AI for security issue remediation.

Evaluate and refine AI-generated content.

Assess accuracy, clarity, and coherence of responses.

Build and ship full-stack features across the product.

Design and build AI agents and automated workflows.

Lead AI initiatives from concept to production.

Define and implement AI architecture and workflows.

Guide AI services for nonprofits.

Research new AI products.

Design and implement ML-driven reward signals.

Collaborate across teams for integration and testing.

Design and develop intelligent agents using LLMs.

Leverage tool calling and agent orchestration frameworks.

Promote key information security practices.

Assess and report security risks.

Own design and production of AI system layers.

Operate and design RAG pipeline and memory architecture.

Lead an AI Builder team to develop internal automation tools.

Set the vision and roadmap for AI-driven tooling.

Lead the design of the integration layer connecting ERP systems.

Manage engineering teams focused on data integrations.

Define the technical vision for Feed Relevance.

Coach and develop the ML engineering team.

Lead design for trading products from concept to launch.

Collaborate with teams to define UX and product direction.

Promote information security awareness.

Ensure compliance with data protection standards.

Lead cross-platform People & Culture solutions.

Implement AI-driven HR solutions.

Lead design and development of NLU solutions.

Leverage LLMs for text and reasoning tasks.

Redesign developer experience for AI-native work.

Implement AI-native vision with CTO and CISO.

Promote awareness of information security practices.

Drive the development of AI-powered capabilities.

Design and maintain scalable backend services.

Develop evaluation frameworks for GenAI products.

Promote awareness of information security practices.

Define and execute a vision for AI capabilities.

Own the vision and strategy for the Core Platform.

Define the System of Record for inter-team communications.

Promote awareness of information security practices.

Evaluate compliance with data privacy standards.

Lead a high-performing engineering team.

Ensure AI applications are performant and secure.

Enhance user experience through research and data.

Understand and apply relevant platform technologies.

Lead and mentor the Applied AI Solutions Architects team.

Drive AI adoption for digital-native customers.

Support design and development of Generative AI solutions.

Implement core RAG pipelines for AI applications.

Optimize D365 F&O modules for SCM and Finance.

Design and deploy AI workflows.

Train bandit models and neural networks.

Collaborate with teams on model alignment.

Understand partner workflows and requirements.

Design and deploy scalable agents for internal use.

Develop AI orchestration layers for scalable workflows.

Select and configure LLMs based on specific criteria.

Hire a remote Principal AI Engineer

Develop customer experience automation solutions

Design and implement ML systems|Apply optimization strategies|Collaborate with teams|Analyze data

r user behavior|Develop data

Revolutionize enterprise data operations through AI solutions.

Automate and accelerate data tasks for overworked data teams.

Aggregate remote data analyst job listings globally.

Include essential job details like company name and salary range.

Hire a remote Senior Data Scientist

Enhance product with data-driven insights

Develop scalable backend solutions

Mentor team members

Lead development of scalable ML systems

Advance Apollo's AI-native product features

Design and productionize scalable machine learning systems

Personalize user experiences using data-driven models

Build and productionize Machine Learning models for Apollo products

Optimize users' experience at all stages of their product journey

. Lead and manage the AI Team effectively

. Drive innovation in AI technologies

Drive AI quality in collaboration products

Lead remote cross-functional teams

Lead AI-focused design initiatives

Manage and mentor remote design teams