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Online Generative Ai Engineer Jobs in Spring, TX

Apetan Consulting llc

Generative AI Engineer

Houston, TX · On-site

$55 - $60/hr

Generative AI Engineer Work Location: Houston, TX Duration: 6-12 Months Contract Work Mode: Onsite from Day 1 Pay Rate Range: $50/hr. - $60/hr. on C2C Interview: Face to Face Interview is Mandatory ...

AMSYS Talent

Sr Gen AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Generative AI Engineer (Azure / RAG / LLM) We're looking for a hands-on Senior AI Engineer to build and deploy production-grade generative AI solutions. This role focuses on taking use cases ...

Celersoft

AWS and Gen AI Engineer

Houston, TX · Remote

$109K - $131K/yr

AWS Generative AI Engineer Location: 100% Remote Role: AWS GenAI Engineer - Intelligent Document Processing and Data Pipelines Job Summary We are seeking an experienced AWS Generative AI Engineer to ...

Chevron

AI Engineer

Houston, TX · On-site

$93K - $127K/yr

Total Number of Openings 1 Chevron is accepting online applications for the position AI Engineer ... Experience building AI-enabled applications using machine learning and/or generative AI ...

Scadea

.Net Engineer

Houston, TX · On-site

AI Engineer with experience in Azure AI Foundry, Generative AI, and .NET development to build and integrate AI-powered enterprise applications. Design, develop, and maintain .NET applications to meet ...

CGI

Data & AI Engineer

Houston, TX · On-site

$109K - $131K/yr

Develop AI and Generative AI solutions leveraging technologies such as Azure AI Foundry, Azure ... Data Engineering . Software Development . Databricks . Snowflake . Data Integration/ETL/ELT

Corebridge Financial

AI Engineer

Houston, TX · On-site

$122K - $148K/yr

Work with structured and unstructured data for predictive and generative AI solutions * Manage and ... Strong programming skills in Python * Solid understanding of machine learning fundamentals and ...

Corebridgefinancial

AI Engineer

Houston, TX · On-site

$122K - $148K/yr

Work with structured and unstructured data for predictive and generative AI solutions * Manage and ... Strong programming skills in Python * Solid understanding of machine learning fundamentals and ...

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All JobsOnline Generative Ai Engineer JobsOnline Generative Ai Engineer Jobs in Spring, TX

Online Generative Ai Engineer information

See Spring, TX salary details

$33.8K

$103.1K

$170.4K

How much do online generative ai engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for online generative ai engineer in Spring, TX is $103,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $134,800.00 per year, depending on experience, location, and employer.

What is an online generative AI engineer?

An Online Generative AI Engineer is a specialized software engineer who designs, develops, and deploys artificial intelligence (AI) models that generate new content, such as text, images, or audio, through online platforms or cloud services. They work with cutting-edge generative models like GPT, DALL-E, or diffusion models, and are responsible for integrating these technologies into web applications or online services. Their role often includes building scalable APIs, optimizing models for real-time usage, and ensuring responsible and ethical AI deployment. These engineers typically collaborate with data scientists, product managers, and UX/UI designers to deliver innovative AI-powered user experiences.

How does an online generative AI engineer typically collaborate with cross-functional teams during model development and deployment?

As an Online Generative AI Engineer, you will regularly work with data scientists, product managers, and software engineers to design, train, and deploy AI models. Collaboration often involves participating in sprint meetings, discussing data requirements, integrating models into production systems, and troubleshooting deployment issues. Effective communication is essential, as you'll need to translate complex model behaviors into actionable insights for non-technical stakeholders, and work closely with DevOps teams to ensure reliable and scalable deployment of generative AI solutions.

What are the key skills and qualifications needed to thrive as an online generative AI engineer, and why are they important?

To thrive as an Online Generative AI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (e.g., AWS, GCP), and experience with generative models such as GANs or transformers are typically required. Strong problem-solving abilities, creativity, and effective communication skills help engineers design innovative solutions and collaborate with multidisciplinary teams. These skills and qualities are vital for building robust AI systems that meet user needs and drive technological advancement.

What is the difference between Online Generative Ai Engineer vs Data Scientist?

AspectOnline Generative Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with machine learning and AI frameworksDegree in Statistics, Data Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI startups, research labs; focus on developing AI models and algorithmsBusiness analytics, research, and data analysis teams; focus on data interpretation and insights
Employer & Industry UsagePrimarily in AI development, tech industry, and research institutionsAcross industries like finance, healthcare, marketing, and tech for data-driven decision making

Online Generative Ai Engineers focus on creating and optimizing AI models that generate content, while Data Scientists analyze data to extract insights. Both roles require strong technical skills, but their primary functions differ in application and industry focus.

What are popular job titles related to Online Generative Ai Engineer jobs in Spring, TX?

For Online Generative Ai Engineer jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Online Generative Ai Engineer jobs in Spring, TX look for?

The top searched job categories for Online Generative Ai Engineer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Online Generative Ai Engineer jobs?

Cities near Spring, TX with the most Online Generative Ai Engineer job openings:

Online Generative Ai Engineer jobs near you
Infographic showing various Online Generative Ai Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 1% Locum Tenens, 67% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $103,107 per year, or $49.6 per hour.

Generative AI Engineer

Apetan Consulting llc

Houston, TX • On-site

$55 - $60/hr

Contractor

Re-posted 10 hours ago

Job description

Title: Generative AI Engineer
Work Location: Houston, TX 
Duration: 6-12 Months Contract
Work Mode: Onsite from Day 1
Pay Rate Range: $50/hr. - $60/hr. on C2C
Interview: Face to Face Interview is Mandatory
 
If you've been building software for a few years, you've picked up real engineering instincts, and you're the person on your team who's already experimenting with agents and LLMs on the side — this is a chance to do that work for real, at enterprise scale, on production systems that matter.
 
What you will do:
Build agentic features, hands-on. Work alongside senior engineers to design and ship AI-powered remediation capabilities: agent workflows, retrieval pipelines, evaluation loops.
Write production code daily. Java/Spring Boot microservices and AI integrations on AWS.
Learn the full lifecycle. From an idea in a design doc to something running in production, instrumented, monitored, and improved based on real usage.
Bring fresh eyes. You're closer to the newest models, frameworks, and techniques than engineers who've been heads-down in one stack for a decade — we want that perspective in the room, not just deference to seniority.
Grow fast. Work directly with senior engineers who'll push your technical depth, and take on more ownership as you earn it.
 
Our stack
Java / Spring Boot microservices on AWS (Lambda, SQS, SNS, IAM, CloudWatch). 
AI Stack: AWS Bedrock and AgentCore, MCP for tool integration, RAG pipelines with vector and graph-based retrieval, LLM-as-judge evaluation. Some Python and Go at the edges. You won't know all of this — we're more interested in how fast you pick things up than what's already on your resume.
 
What you will bring:
4+ years building software professionally — you've shipped real features, not just coursework or side projects, and you understand what "production" demands.
Genuine curiosity about AI/agentic systems — you've built something with LLMs or agents, even outside of work: a side project, a hackathon entry, an experiment that didn't ship. We want to hear about it.
Solid engineering fundamentals — distributed systems basics, APIs, cloud infrastructure (AWS). You need to know what good code and good design look like.
You experiment and iterate ideas quickly and bring new perspectives 
 
Nice to have
Experience with multiple LLM APIs or agent frameworks
Python or Go 
POCs using AI for coding, automation, or data work 
Contributions to open source AI/ML tooling.