Generative AI Engineer (AI/ML)

Generative AI Engineer (AI/ML)

Richmond, Virginia OR McLean, VA hybrid onsite

Job Description

We are seeking a highly skilled Gen AI/Python Developer with strong Site Reliability Engineering (SRE) experience to join our team for a 6-month engagement. The ideal candidate will have a deep understanding of Generative AI models, extensive Python development experience, and proven proficiency with cloud platforms (AWS or Azure).

Required Skills:

• 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.

Nice to Have:

• Exposure to prompt engineering or fine-tuning LLMs.
• Background in financial services or regulated industries.

Education:

• Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred).

Day to Day

• 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.