AI Engineer
Core
Implement AI strategy and integrate generative AI capabilities (prompt orchestration, RAG, fine-tuning) into client applications to drive digital transformation and increase operating efficiencies.
Role type
Senior AI Engineer (Generative AI/LLM)
Builds
Production LLM applications, on-premises AI server infrastructure, and scalable hybrid AI/ML solutions
Domain
Commercial and public sector digital transformation
Deliverable
production ML models
Required skills
Generative AI/LLM technologies, RAG architecture, vector databases, cloud-native services, token efficiency optimization, prompt compression, model routing, on-premises model infrastructure, hybrid cloud architecture, Python
Preferred skills
Adversarial robustness, model access controls, data protection in restricted environments, client-facing engineering, organizational planning, project management
Technologies
OpenAI, Anthropic, Google Gemini, AWS Bedrock, R, MATLAB
Responsibilities
Implement AI strategy to increase adoption of AI technologies across client organization, Coordinate with stakeholders to establish on-premises AI server, Integrate AI capabilities into applications and services, Collaborate with cross-functional teams to iterate on use cases and deliver POCs/MVPs, Conduct digital transformation initiatives leveraging AI technologies
Seniority
Senior, hands-on IC
