Full Stack AI Developer

• Education: Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• Experience: Minimum 7 years of proven experience developing and integrating advanced application capabilities within high-availability production environments.
• Leadership: Demonstrated self-starter capability, taking a lead role in delivering end-to-end software solutions for mission-critical application development projects.

• →AI/ML Engineering:
  - Engineer and scale AI-driven platforms to streamline data ingestion, exploration,
  triage, and advanced search functionalities.
  - Analyze and implement emerging AI model trends, focusing on the fine-tuning
  and optimization of Large Language Models (LLMs).
  - Execute rigorous validation protocols to assess AI model accuracy, evaluation
  metrics, and overall performance effectiveness.
  
  
• →DevOps & Infrastructure:
  - Architect and automate robust CI/CD pipelines using GitHub or GitLab to
  streamline deployment workflows.
  - Define, orchestrate, and validate comprehensive build and deployment
  procedures to ensure system reliability.
  - Deploy and manage containerized applications utilizing Kubernetes and
  Docker across AWS Cloud and air-gapped environments.
  
  
• →Operations & Collaboration: 
  - Standardize and document current and future-state configuration processes,
  policies, and system architectures.
  - Facilitate proactive communication with cross-functional teams to align
  technical delivery with organizational objectives.
  - Leverage OpenSearch and Python to build high-performance, data-centric
  features.

• TS/SCI with Full-Scope Polygraph

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.