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Software Engineer Ai Model Training Jobs in Texas

Conga

SrSoftware Engineer (AI Platform)

Boston, TX · On-site

$111K - $147K/yr

As a Senior Software Engineer,you'llbe a key member in a team responsible for the development ... Lead end-to-end development of generative AI solutions, from data collection and model training to ...

CSAA

Implement best practices for MLOps, model monitoring, model lifecycle management, and AI ... Training Plans, etc.). CSAA Insurance Group is an equal opportunity employer. . The national ...

New

The Bronx

Software Engineer AI/ML

Addison, TX · On-site

$145 - $160/hr

Own the end-to-end AI lifecycle, including data preparation, model selection, prompt engineering ... Collaborate closely with Data Engineering, Software Engineering, Security, and business teams to ...

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Software Engineer Ai Model Training information

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

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The top searched job categories for Software Engineer Ai Model Training jobs in Texas are:

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Cities in Texas with the most Software Engineer Ai Model Training job openings:

Software Engineer Ai Model Training jobs near you

Senior Software Engineer (AI Applications)

Cambium Learning Group

Dallas, TX • On-site, Remote

$112K - $148K/yr

Full-time

Re-posted 4 days ago

Cambium Learning Group rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

10th of 245 rated software companies

Job description

Job Overview
Are you driven to build innovative, intelligent systems that fundamentally change how people learn? Join our team of engineers and researchers at the forefront of educational technology to design and deploy the next generation of AI-powered solutions.
Cambium Assessment Inc is a leading education technology firm with a growing software engineering and product development team. We design and build online assessment systems that are used by millions of students providing actionable insights for educators grounded in scientific theory.
We are seeking a Lead/Senior Software Engineer (AI Applications) to own the architecture and implementation of reliable and responsible agent orchestration systems. In this high-impact, individual contributor role, you will be instrumental in designing autonomous AI agents, integrating advanced generative capabilities into our core products, and establishing the technical foundation for our AI-driven future. You will be a key technical leader, driving best practices, mentoring peers, and ensuring our AI systems are scalable, safe, and trustworthy.
Job Responsibilities:
  • Agent Architecture & Implementation: Design, build, and deploy robust Generative AI agents featuring advanced capabilities like persistent memory, shared state management, and complex multi-step reasoning workflows specifically tailored for real-world educational applications.
  • Product Innovation: Drive the development of cutting-edge, AI-enabled web based educational software systems that redefine user interaction and learning outcomes.
  • Generative AI Integration: Seamlessly incorporate Generative AI features into existing platforms, focusing on optimizing performance, ensuring a seamless UX, and maintaining strict safety compliance.
  • Intelligent System Leverage: Expertly leverage Large Language Models (LLMs) and multimodal models to deliver highly intelligent, context-aware user experiences.
  • Agent Quality & Evaluation: Establish and maintain frameworks for comprehensive agent evaluation, including rigorous testing, critical safety assessments, and detailed performance monitoring.
  • Cross-Functional Leadership: Partner closely with other teams to translate complex user needs and learning workflows into scalable, production-ready agentic capabilities.
  • Technical Mentorship: Act as a subject matter expert, guiding engineers on advanced agent design patterns, optimal LLM integration strategies, and best practices for building secure, autonomous systems.
  • Mission Alignment: Contribute to a mission-driven environment focused on innovation, measurable impact, and the ethical, responsible development and deployment of AI enabled products.

Job Requirements:
  • Experience: 5+ years in software engineering, including 2+ years in a Senior/Staff-level capacity leading significant technical initiatives.
  • Agentic Systems Mastery: Proven, hands-on experience building complex agentic systems, including proficiency with tool calling, advanced prompt optimization, and comprehensive context engineering.
  • LLM Integration & Backend: Deep, practical experience integrating with LLMs, coupled with strong skills in prompt engineering and Retrieval-Augmented Generation (RAG) pipelines.
  • Programming Proficiency: Strong expertise in at least two of the following programming languages: Python, JavaScript/TypeScript, or C#.
  • Cloud Platform Experience: Experience deploying and managing systems on at least one of the major cloud platforms (AWS, GCP, or Azure), utilizing containerization and implementing robust observability tooling.
  • Web Application and API Development: Proven experience building and deploying robust, high-throughput full stack solutions including backend services/APIs that integrate with AI models and orchestrate complex workflows.
  • Vector Databases: Familiarity with vector databases and embedding models.
  • Security Focus: Demonstrated experience designing secure systems capable of safely handling untrusted code execution or complex user-generated content.
  • Soft Skills: Excellent communication, collaboration skills, and the ability to autonomously drive technical initiatives from initial prototype through to high-scale production.

Nice to Have:
  • Experience with AI Agent evaluation frameworks.
  • Familiarity with scalable inference pipelines.
  • Familiarity with open tool protocols (e.g., MCP, A2A), browser automation etc.
  • Prior work in EdTech.
  • Familiarity with AWS Bedrock and Strands Agents

Why Work With Us?
When you work with Cambium Assessment, you'll be helping to design and build inspiring solutions that make a real impact on the online testing industry, as well as the educators and students we support.
  • Our systems are highly scaled and mission critical serving over a third of all students in grades 3-8 in the United States.
  • Our web applications are highly interactive and universally accessible.
  • Our machine scoring methods are driven by artificial intelligence allowing computers to perform such complex operations as grading essays with more accuracy than humans.
  • Our processes use intensive algorithmic computing allowing a customized experience for each student as the exam adapts real-time based upon answers given.

In the 2024 school year, we delivered more than 126 million online tests, and successfully supported peak testing volumes exceeding 1.5 million simultaneous test takers. We have the most advanced features of any online testing system, and we continue to push boundaries to improve student performance measurement and enabling educators with actionable insights to drive better overall educational outcomes for our students. To learn more about our organization and the exciting work we do, visit www.cambiumassessment.com.
Remote First Work Environment
Our Remote First approach gives employees the flexibility and trust they need to effectively balance work with life. It creates a culture in which all employees are valued and where success is measured in results. It allows us to work collaboratively, inclusively and for greater positive impact, regardless of our individual locations.
If you will be working remotely, either occasionally or on a permanent basis, you must have a reliable internet connection through a cable or fiber-optic broadband service with minimum speeds of 10 Mbps download and 5 Mbps upload.
The successful candidate will be expected to actively participate in video-based interviews during the recruiting process and ongoing virtual meetings with their camera on, as part of their role. To maintain confidentiality and ensure a fair evaluation process, the use of note-taking tools, reference materials, or AI-powered tools (including generative AI, language models, or similar technologies) during interviews or other selection activities is prohibited unless prior written approval has been obtained from the People Experience team. If you require an exception for medical, accessibility, or other reasons, please contact your Talent Acquisition team member to discuss accommodations in advance.
As part of our Remote-First benefits, Cambium offers reimbursement to help cover the cost of setting up your home or remote office.
An Equal Opportunity Employer
We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, age, religion, sex (including pregnancy, gender, gender identity/expression, or sexual orientation), national origin, protected veteran status, disability, or genetic information (including family medical history).
We will provide reasonable accommodations for qualified individuals with disabilities. You may request an accommodation during the recruiting process with your Talent Acquisition team member.

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