AI Engineer
Kforce has a client in Chantilly, VA that is seeking an AI Engineer. Responsibilities:
- 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
- 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.
- Strong proficiency in Python and AI/ML frameworks (e.g. PyTorch, TensorFlow, cloud-native AI libraries)
- Hands-on experience with cloud platforms (Google Cloud, Azure) for AI/ML deployment
- Experience with containerization (Docker), orchestration (Kubernetes) for model deployment
- Experience building and managing CI/CD pipelines including automated testing and secure software delivery
- Familiarity with DevSecOps practices: vulnerability scanning, dependency management, secure coding, secrets management, encryption
- Experience with Infrastructure as Code (e.g. Terraform, CloudFormation, Azure Resource Manager).
- Proficiency with APIs / microservices (FastAPI, REST, GraphQL)
- Knowledge of vector databases or retrieval systems for embeddings, etc.
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