Senior GenAI/ML Engineer - Cloud AI & Secure Deployments

PGTEK; Fort Meade (FL); Hybrid; USD 160,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Vision plan

Dental insurance

Life Insurance

Disability insurance

Critical Illness insurance

401(k) matching

Pet insurance discount

Employee Assistance Program

Paid time off

Job summary

PGTEK is seeking a Senior GenAI/ML Engineer to support the L300 Accelerating Expansion capability. You will build Gemini and ML services that move from architecture to demonstrated capability, developing Python services, model logic, experiments, tests, and deployment packages.

The role requires 5+ years in software/ML engineering and 2+ years hands-on Google Cloud/AI experience. Hybrid or remote work with travel to customer sites is expected, with a focus on secure, scalable solutions.

Qualifications

• 5+ years of software, cloud, data, SRE, test, or ML engineering experience.
• 2+ years of hands-on Google Cloud, AI/ML, data, or production-platform experience.
• Experience with Python, Vertex AI, Gemini, ADK, RAG, ML, Cloud Run/GKE, APIs, testing, evaluation, and Git.

Responsibilities

• Develop Python services, model/RAG logic, experiments, tests, deployment packages, and production monitoring.
• Implement solutions using Python, Vertex AI, Gemini, ADK, RAG, and ML.
• Apply least-privilege and secure practices.
• Mentor team members and contribute reusable standards.
• Support RMF/FedRAMP/DoD authorization activities.

Skills

Python

Vertex AI

Gemini

ADK

RAG

APIs

Testing

Git

Cloud Run/GKE

ML

SRE

Security best practices

Google Cloud

Tools

CI/CD

GKE

Job description

PGTEK is seeking a Senior GenAI/ML Engineer to support the L300 Accelerating Expansion capability. You will build Gemini and ML services that move from architecture to demonstrated capability, developing Python services, model logic, experiments, tests, and deployment packages.

The role requires 5+ years in software/ML engineering and 2+ years hands-on Google Cloud/AI experience. Hybrid or remote work with travel to customer sites is expected, with a focus on secure, scalable solutions.