Skip to main content
Loading
snaprecruit
Logo
Close
Log in
Sign Up
Post a Job

Millions Of Active Candidates

For Employers
VIEW SIMILAR JOBS →
loadingbar
Loading, Please wait..!!

Senior Python AI/ML Engineer - Full Stack & GenAI

  • Job type Posted on: Jul 14, 2026
  • Experience level Mindlance
  • Employment type Irving, Texas
  • Employment type Onsite
  • Salary Full-time
Save this job

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Senior Python AI/ML Engineer - Full Stack & GenAI roles in Texas.

View Salary Guide →
Over 12 millions jobs on Snaprecruit.
Find your match !
VIEW SIMILAR JOBS →

Job Title :

Senior Python AI/ML Engineer - Full Stack & GenAI

Job Type :

Full-time

Job Location :

Irving Texas United States

Remote :

No

Jobcon Logo Job Description :

View Full Description
Mindlance seeks a Senior Full Stack Engineer to build AI-powered enterprise apps using Python, AI/ML, Generative AI, and React. You will work with LLMs, RAG, Prompt Engineering, and AI Agents to deliver scalable solutions. Responsibilities include REST APIs, microservices, data pipelines, and enterprise integrations. You will deploy to Azure with exposure to AWS and GCP, collaborating across teams for secure, high-quality software. #J-18808-Ljbffr

People Also Search For

Jobcon Logo Position Details

Posted:

Jul 14, 2026

Reference Number:

14660_01456DA1463E50529BCCBC214F1DCAAD

Employment:

Full-time

Salary:

Not Available

City:

Irving

Job Origin:

APPCAST_CPC

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!
Get your FREE tickets

Senior Python AI/ML Engineer - Full Stack & GenAI    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Mindlance seeks a Senior Full Stack Engineer to build AI-powered enterprise apps using Python, AI/ML, Generative AI, and React. You will work with LLMs, RAG, Prompt Engineering, and AI Agents to deliver scalable solutions. Responsibilities include REST APIs, microservices, data pipelines, and enterprise integrations. You will deploy to Azure with exposure to AWS and GCP, collaborating across teams for secure, high-quality software. #J-18808-Ljbffr

Loading
Please wait..!!