Overview
On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
Generative Artificial Intelligence (AI)
DevOps
Amazon Web Services
Docker
Jenkins
Machine Learning Operations (ML Ops)
Machine Learning (ML)
Job Details
Generative AI Engineer (AI/ML)
Richmond, Virginia OR McLean, VA hybrid onsite
6 months contract
Must work on W2
- 3+ years of Python development experience in production environments.
- Hands-on experience with Generative AI (LLMs, Transformers, NLP pipelines, etc.).
- Strong cloud experience with AWS and/or Azure (compute, storage, IAM, networking).
- Experience with SRE practices: reliability engineering, observability, monitoring, incident management.
- Familiarity with DevOps tools (Git, Jenkins, Docker, Kubernetes, Terraform, etc.).
- Working knowledge of MLOps and model deployment workflows.
- Exposure to prompt engineering or fine-tuning LLMs
- Background in financial services or regulated industries.
- Develop, deploy, and support Generative AI solutions and frameworks for enterprise use cases.
- Build scalable and resilient Python-based applications and services in a cloud-native environment.
- Collaborate with AI/ML engineers, data scientists, and infrastructure teams to integrate and operationalize Gen AI models.
- Ensure high availability, performance, and security of AI systems using SRE best practices.
- Automate deployment pipelines, observability, and system health monitoring.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.