AI Engineer
Kforce has a client that is seeking an AI Engineer in Chantilly, VA. Responsibilities:
- AI Engineer will design, train, fine-tune, and deploy AI/ML models (LLMs, embeddings, classification models, RAG pipelines)
- Build secure, scalable APIs and services to integrate AI capabilities into business systems
- Design and implement agentic AI workflows that coordinate multiple models or services to achieve mission objectives
- Integrate retrieval-augmented generation (RAG) and agentic reasoning into production environments
- Implement and maintain automated CI/CD pipelines for model development, testing, deployment, and rollback
- Design and implement containerized applications and services that can be deployed across multiple cloud environments
- As an AI Engineer, you will build portable AI pipelines with containerization to ensure future-proof deployments and migration flexibility
- Integrate security and compliance controls into all phases of development (DevSecOps), code scans, dependency management, vulnerability assessment, etc.
- Use Infrastructure as Code (IaC) tools to provision, configure, and maintain cloud resources
- B.S. in Computer Science, Engineering, Mathematics, or a related discipline
- Equivalent experience may be accepted in lieu of formal education
- Active CompTIA Security+ certification
- Microsoft Certified: Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer, OR similar AI certification
- Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information
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