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Ai Software Engineer Jobs in Allen, TX (NOW HIRING)

System One Holdings, LLC

Senior AI Software Engineer

Plano, TX · On-site

$117.70K - $155.20K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to Hire Start Date: ASAP Position Overview We are seeking an experienced AI Software Engineer to join ...

System One

Senior AI Software Engineer

Plano, TX

$117.70K - $155.20K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to Hire Start Date: ASAP Position Overview We are seeking an experienced AI Software Engineer to join ...

Johnson Controls

AI Software Engineer

Dallas, TX · Hybrid

$85K - $117K/yr

As a Software Developer within the Enterprise AI team, you will be part of a team responsible for building solutions that drive JCI's future growth. You will be involved with initiatives such as ...

CGI Inc.

AI Software Engineer

Dallas, TX · On-site

AI Software Engineer Category: Project Management Main location: United States, Texas, Dallas Position ID:J0426-0680 Employment Type: Full Time Position Description: Position Description We're ...

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$59.1K

$137.2K

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How much do ai software engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for ai software engineer in Allen, TX is $137,223.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $160,900.00 per year, depending on experience, location, and employer.

What does an AI Software Engineer do?

An AI Software Engineer designs, develops, and maintains software applications that incorporate artificial intelligence and machine learning technologies. They work with algorithms, data models, and programming languages such as Python, TensorFlow, and PyTorch to build intelligent systems. Their responsibilities include data preprocessing, model training, optimization, and deployment. Additionally, they collaborate with data scientists and software engineers to integrate AI solutions into real-world applications.

What are the key skills and qualifications needed to thrive in the Ai Software Engineer position, and why are they important?

To thrive as an AI Software Engineer, you need a strong background in computer science, mathematics, and machine learning principles, often backed by a relevant degree and experience with programming languages like Python or C++. Familiarity with frameworks such as TensorFlow or PyTorch, and experience deploying models in cloud environments or obtaining certifications in AI/ML, are highly valued. Strong problem-solving abilities, communication, and teamwork are important soft skills to bridge technical gaps and collaborate effectively. These skills and qualities enable the design, development, and deployment of effective AI solutions in dynamic, results-driven environments.

What are the typical day-to-day responsibilities of an AI Software Engineer?

AI Software Engineers typically spend their days designing, building, and optimizing machine learning models, writing code to support AI system integration, and analyzing large data sets for training algorithms. They frequently collaborate with data scientists, product managers, and other software engineers to align technical solutions with business goals. Regular responsibilities also include reviewing code, troubleshooting model performance, and staying up-to-date on the latest research in artificial intelligence. This role often involves a mix of independent technical work and team-based project collaboration, providing variety and opportunities for skill growth.
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Ai Software Engineer jobs near you
Senior AI Software Engineer

Senior AI Software Engineer

System One Holdings, LLC

Plano, TX • On-site

$117.70K - $155.20K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

AI Software Engineer
Location: Plano, TX (Hybrid - onsite required)
Duration: 6+ Months Contract to Hire
Start Date: ASAP
Position Overview
We are seeking an experienced AI Software Engineer to join a growing engineering team focused on building scalable AI-driven applications and data platforms. This is a hands-on technical role involving backend development, API engineering, cloud architecture, streaming data, and GenAI integrations.
The ideal candidate will work closely with technical leads and product owners to understand requirements, contribute to system design, develop scalable solutions, and support best engineering practices in a collaborative Agile environment.
Responsibilities
  • Design, develop, and maintain scalable backend applications and APIs
  • Build RESTful APIs using FastAPI and GraphQL APIs using Strawberry
  • Develop real-time data pipelines using Kafka or Event Hubs
  • Work with PostgreSQL, MongoDB, and distributed data systems
  • Implement scalable data processing workflows using Spark and Delta Lake
  • Utilize Databricks for data engineering and ML workflows
  • Integrate LLM APIs such as OpenAI, Llama, or other GenAI platforms
  • Deploy and manage applications using Docker and Kubernetes
  • Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions
  • Collaborate with cross-functional teams on architecture, design, and implementation
  • Troubleshoot performance issues and optimize application scalability
Required Skills
  • Strong experience with Python and modern web frameworks
  • Hands-on experience with FastAPI and GraphQL
  • Experience with Kafka or Event Hubs
  • Strong database experience with PostgreSQL and MongoDB
  • Experience with Spark, Delta Lake, and Databricks
  • Experience integrating OpenAI, Llama, or other LLM APIs
  • Strong understanding of Microsoft Azure cloud architecture
  • Experience with Docker and Kubernetes
  • Experience with CI/CD pipelines and DevOps practices
  • Strong system design and problem-solving skills
  • Experience handling concurrency, multithreading, or distributed systems
Preferred Skills
  • Experience with LangChain
  • Front-end experience with React, Next.js, or JavaScript
  • Telecom industry experience is a plus

Work Model
Hybrid role based in Plano, TX. Candidates should be comfortable working onsite as required.
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