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 (Dev Sec Ops ), code scans, dependency management, vulnerability assessment, etc.
* Strong proficiency in Python and AI/ML frameworks (e.g. PyTorch, Tensor Flow, 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 Dev Sec Ops  practices: vulnerability scanning, dependency management, secure coding, secrets management, encryption

* Experience with Infrastructure as Code (e.g. Terraform, Cloud Formation, Azure Resource Manager).

* Proficiency with APIs / microservices (FastAPI, REST, Graph

QL)

* Knowledge of vector databases or retrieval systems for embeddings, etc.