AI ENGINEER, Dallas Texas

Calabitek Inc; Town of Texas (WI); On-site; USD 140,000 - 180,000; Full time

Job summary

Calabitek Inc. in Dallas, TX is seeking an AI Engineer to design and deploy AI solutions at scale. You will partner with product and data teams to translate requirements into robust ML systems and services.

The role emphasizes hands-on development with Python and ML stacks, building data pipelines, and applying LLM technologies. Onsite work with a fast-paced environment and strong communication expectations.

Qualifications

• 5+ years of software development experience in Python (preferred) or other languages.
• 3+ years 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.
• Excellent communication skills with the ability to explain complex concepts clearly.

Responsibilities

• 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

Skills

Python

C/C++

Go

Java

ML systems

LLMs

API integration

Prompt engineering

Fine-tuning

RAG architectures

LLM awareness

ML concepts

Statistics

Algorithms

Data structures

Data pipelines

Large-scale datasets

Problem solving

Ownership

Communication

Tools

AWS

Docker

Kubernetes

Terraform

Step Functions

Job description

ROLE: AI ENGINEER

LOCATION: DALLAS, TX

Onsite Role

Responsibilities

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