- Arlington, Virginia, United States
- Entry
Design, develop, and deploy scalable AI/ML solutions for federal civilian clients, including LLM-powered applications, RAG architectures, and agent-based workflows.
Compensation
Eligibility for performance-based participation in cash bonuses
Responsibilities
- Design, develop, and deploy scalable AI/ML solutions, including LLM-powered applications, RAG architectures, and agent-based workflows, in complex, enterprise environments.
- Build and maintain end-to-end ML pipelines (data engineering, model development, deployment, monitoring, and retraining) using Python, SQL, and modern MLOps practices.
- Develop and integrate AI applications using foundation models (such as Claude, GPT variants, and open-weight Hugging Face models) and cloud-native services across AWS and Azure (e.g., Bedrock, SageMaker, OpenAI Service, AI Search).
- Design secure, auditable, and explainable AI systems with strong governance, traceability, and human-in-the-loop controls for mission-critical and compliance-sensitive environments.
- Collaborate with cross-functional teams to prepare data, enable semantic retrieval, and deliver robust AI-driven solutions aligned to operational needs.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- Nice to have: open-weight models
- Nice to have: vLLM
- Nice to have: TGI