AI Engineer

Location: Plano, TX
Salary: $160,000.00 USD Annually - $185,000.00 USD Annually
Description:
Location: Plano, TX or Camas, WA
The Opportunity

We are seeking an AI Engineer to design, build, and optimize production-grade generative AI solutions. In this role, you'll collaborate closely with AI leaders, ML engineers, and platform teams to deliver scalable systems powered by LLMs, GPU-accelerated frameworks, and cloud-native microservices. You'll ensure these solutions are secure, high-performing, and fully integrated within enterprise environments.
What You'll Do

• Architect, develop, fine-tune, and deploy generative AI models into scalable production environments
• Build and maintain APIs and microservices-primarily using FastAPI-to enable AI capabilities across the organization
• Partner with AI Infrastructure teams to design robust LLM pipelines, including training workflows and RAG (retrieval-augmented generation) systems
• Integrate AI solutions into enterprise applications using secure, cloud-native patterns and best practices
• Ensure models meet standards for explainability, reliability, security, and regulatory compliance
• Monitor and improve model performance through evaluation frameworks, observability tools, and continuous fine-tuning

What You Bring

• 8+ years of experience in the IT industry
• Minimum 2+ years of hands-on AI development experience
• 3+ years of professional Python programming
• Strong proficiency with LLMs, embeddings, vector databases, and RAG architectures
• Proven experience working with generative AI models, including multimodal systems
• Practical expertise with cloud-native AI platforms such as Azure AI Foundry, AWS Bedrock, OpenAI models, and AI governance frameworks
• Bachelor's degree in Computer Science, AI, or related discipline-or equivalent professional experience

Preferred Qualifications

• Experience with GPU-accelerated training and inference using NVIDIA technologies (e.g., NIM, NeMo)
• Ability to optimize and scale AI models with NVIDIA NIM and fine-tune via NeMo services
• Familiarity with agentic AI frameworks and deploying production AI agents
• Experience delivering low-latency, high-throughput model deployments using tools such as vLLM and GPU-optimized inference frameworks
• Background in CI/CD pipelines for ML and Generative AI, including containerization and orchestration with Docker and Kubernetes

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Contact:

This job and many more are available through The Judge Group. Please apply with us today!