AI ENGINEER, Dallas Texas

Collaborate with cross-functional teams to translate business requirements into scalable AI
solutions
Ensure performance, scalability, and reliability of deployed AI systems
Continuously evaluate and adopt emerging AI/ML technologies and best practices
Required Skills & Qualifications
5+ years of software development experience in one or more languages: Python (preferred),
C/C++, Go, or Java
3+ years of experience designing, building, and deploying production ML systems
Hands-on experience with LLMs including API integration, prompt engineering, fine-tuning, and
RAG architectures
Familiarity with leading LLMs such as OpenAI, Gemini, Llama, Qwen, and Claude
Strong understanding of machine learning concepts, applied statistics, algorithms, and data
structures
Experience building data pipelines and handling large-scale datasets
Strong problem-solving skills, ownership mindset, and ability to work in a fast-paced
environment
Excellent communication skills with the ability to explain complex concepts clearly

Preferred Qualifications
Experience working with AWS cloud services (ECS/EKS, Lambda, S3, DynamoDB, Redshift,
SageMaker)
Knowledge of containerization and orchestration (Docker, Kubernetes)
Experience with workflow orchestration (Step Functions)
Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation