AI Engineer

Overview

AI Engineer to implement an AI strategy and integrate AI capabilities into client applications and services.

What you'll do

• Implement AI strategy to increase adoption of AI technologies across client organizations.
• Coordinate with stakeholders to establish on-premises AI server infrastructure.
• Integrate AI capabilities such as prompt orchestration, tool/function calling, embeddings, and fine-tuning into applications and services.
• Collaborate with teams to iterate on use cases and deliver POCs/MVPs, then harden solutions for scale.
• Follow responsible AI practices and security/compliance requirements across commercial and public sector environments.
• Conduct digital transformation initiatives leveraging AI technologies to improve mission accomplishment and operating efficiencies.

What you'll need

• Active and maintained “SECRET” Federal or DoD security clearance.
• Bachelor’s degree.
• 8+ years of professional experience including software/data/RAG/vector databases or ML engineering.
• 3+ years of experience building and operating cloud-native services including OpenAI, Anthropic, Google Gemini, or AWS Bedrock.
• 2+ years focused specifically on Generative AI/LLM technologies.
• 1+ year optimizing token efficiency and cost management in production LLM applications.

Details

• Work mode: Remote (Any location) in the US.
• Travel required: None.