AI Systems 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.

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.

Design and develop agentic systems for automating workflows.

Translate customer needs into agent behaviors.

Design agentic systems for audit workflows.

Translate customer problems into agent behaviors.

Build internal content and media systems for architecture and storytelling.

Create automation and repository infrastructure for design assets.

Build and ship full-stack features across the product.

Design and build AI agents and automated workflows.

Design LLM orchestration frameworks.

Optimize data preprocessing pipelines.

Design LLM orchestration for analyzers.

Develop data pipelines for document processing.

Design and implement LLM orchestration.

Build data pipelines for document processing.