AI Engineer

Veriipro

Dallas (TX)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

Veriipro in Dallas, Texas, is seeking a highly skilled AI Engineer to design, develop, and deploy AI-powered applications and intelligent automation solutions. The role requires expertise in Python, advanced SQL, and AI workflows.

The ideal candidate should have a Bachelor's degree in Computer Science or related field, with at least 3 years of relevant experience. Join our team to drive business value through innovative AI solutions!

Qualifications

  • 3+ years of experience in software development or AI/ML engineering.
  • Experience working with cloud platforms like AWS, Azure, or GCP.
  • Hands-on experience with building, testing, and deploying production-grade AI applications.

Responsibilities

  • Design, develop, and maintain AI applications and workflows.
  • Build scalable data pipelines for structured and unstructured data.
  • Collaborate with teams to deliver innovative AI solutions.

Skills

Python development
Advanced SQL
AI agent workflows
RAG architectures
Data engineering
API integration
Machine learning libraries
Data validation and transformation
Git

Education

Bachelor's degree in relevant field

Tools

PostgreSQL
SQL Server
MySQL
LangChain
n8n
Gemini
Pandas
NumPy
Scikit-learn
XGBoost
TensorFlow
PyTorch
AWS
Azure
GCP
OpenCV

Job description

Job Summary

We are seeking a highly skilled AI Engineer to design, develop, and deploy scalable AI-powered applications and intelligent automation solutions. The ideal candidate will have strong expertise in Python development, advanced SQL, AI agent workflows, Retrieval-Augmented Generation (RAG) architectures, and data engineering. This role involves building production-grade AI systems, integrating APIs, processing large-scale datasets, and delivering innovative solutions that drive business value.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • 3+ years of experience in software development, AI/ML engineering, or a related role.
  • Strong programming expertise in Python.
  • Advanced SQL skills with experience in PostgreSQL, SQL Server, or MySQL.
  • Hands‑on experience building AI agent workflows and RAG‑based solutions using frameworks such as LangChain, n8n, Gemini, or similar technologies.
  • Experience working with machine learning and data processing libraries including Pandas, NumPy, Scikit‑learn, and XGBoost.
  • Strong understanding of API integration, RESTful services, JSON/CSV data processing, and large‑scale data handling.
  • Experience implementing data validation, data quality, and data transformation processes.
  • Proficiency with Git and modern software development practices.
  • Experience building, testing, deploying, and maintaining production‑grade AI applications.
Preferred Qualifications
  • Experience with FastAPI or Flask for application development, automation, and integrations.
  • Hands‑on experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Knowledge of cloud platforms including AWS, Azure, or GCP.
  • Experience with event‑driven architectures, messaging systems, and streaming platforms.
  • Exposure to optimization frameworks such as OR‑Tools.
  • Experience with computer vision solutions using OpenCV.
Key Responsibilities
  • Design, develop, and maintain AI‑powered applications, agent‑based workflows, and RAG solutions.
  • Build scalable data pipelines for ingestion, transformation, and processing of structured and unstructured data.
  • Integrate internal and external systems through APIs and automation frameworks.
  • Develop and optimize machine learning models and AI‑driven business solutions.
  • Ensure data quality, reliability, security, and performance across AI systems.
  • Collaborate with cross‑functional teams to define requirements and deliver innovative AI solutions.
  • Deploy, monitor, and support AI applications in production environments.
  • Implement best practices for code quality, version control, testing, and documentation.
  • Evaluate emerging AI technologies and recommend improvements to existing solutions.
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