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Gen Ai Developer Jobs in Spring, TX (NOW HIRING)

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Lead end-to-end Gen AI/ML solution architecture -- from problem definition, data acquisition, and feature engineering to model deployment and monitoring. * Collaborate with business stakeholders to ...

SDH Systems

AI Architect

Houston, TX · On-site

This role requires a deep understanding of Gen AI tools, frameworks, and technologies, as well as a ... Collaborate with product managers, Client Architects, developers, and stakeholders to identify AI ...

AMSYS Talent

Sr Gen AI Engineer

Houston, TX · On-site

$99K - $137K/yr

CI/CD and DevOps exposure What We're Looking For * Proven experience shipping AI solutions (not just experimentation) * Ownership from prototype → production * Ability to work in fast-paced, client ...

Deloitte

Oracle Gen AI Manager

Houston, TX

Identify high-value AI use cases and guide teams on prompt engineering, model selection, and model ... Work you'll do As an Oracle Gen AI Architect Manager on the Oracle team, you will translate ...

NAVA Software Solutions

Data/AI Lead

Houston, TX · On-site

Leads cross functional teams including AI engineers, data scientists, data visualization engineers ... Azure ML Studio), Gen-AI LLMs models (e.g. Azure Open AI etc.). As well as the guardrails around ...

Quest Global

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

  • Medical

  • Retirement

  • PTO

Job Requirements Quest Global delivers world-class end-to-end engineering solutions by leveraging ... Evaluate emerging technologies in Gen AI and recommend adoption to improve capabilities. * Support ...

Quest Global

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

  • Medical

  • Retirement

  • PTO

Job Requirements Quest Global delivers world-class end-to-end engineering solutions by leveraging ... Evaluate emerging technologies in Gen AI and recommend adoption to improve capabilities. * Support ...

Quest Global

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

  • Medical

  • Retirement

  • PTO

Job Requirements Quest Global delivers world-class end-to-end engineering solutions by leveraging ... Evaluate emerging technologies in Gen AI and recommend adoption to improve capabilities. * Support ...

RiseIT Solutions

Salesforce Tech Lead

Houston, TX · On-site

$53 - $70.25/hr

Salesforce, Gen AI, MuleSoft, data integration, Data Engineering, Integration Engineering, Apex, LWC, Flows, SOQL/SOSL. To Apply : Varsha Tarange iTech US, Inc.

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All JobsGen Ai Developer JobsGen Ai Developer Jobs in Spring, TX

Gen Ai Developer information

See Spring, TX salary details

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How much do gen ai developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for gen ai developer in Spring, TX is $40.30, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $48.75 per hour, depending on experience, location, and employer.

What is a Gen AI developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

What are the key skills and qualifications needed to thrive as a Gen AI developer, and why are they important?

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.

What is the difference between Gen Ai Developer vs Machine Learning Engineer?

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

How can I become a Gen AI developer?

To become a Gen AI developer, you should gain strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and develop expertise in natural language processing and large language models. Building a portfolio of AI projects and obtaining relevant certifications can also enhance your qualifications for this role.

Is a Gen AI Developer a promising career?

A Gen AI Developer is a growing role focused on creating and improving generative artificial intelligence systems, often requiring skills in machine learning, deep learning, and programming languages like Python. The demand for such developers is increasing as AI applications expand across industries, making it a promising career with strong job growth prospects.

What job categories do people searching Gen Ai Developer jobs in Spring, TX look for?

The top searched job categories for Gen Ai Developer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Gen Ai Developer jobs?

Cities near Spring, TX with the most Gen Ai Developer job openings:

Gen Ai Developer jobs near you
Infographic showing various Gen Ai Developer job openings in Spring, TX as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $83,827 per year, or $40.3 per hour.

AI Developer/Engineer

Kanak Elite Services Inc

Houston, TX • On-site

Contractor

Re-posted 28 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of AI Developer/Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : AI Developer/Engineer

Location          : Houston , TX Onsite

Duration         : Long Term

Need - 10+ Exp Required

Key Responsibilities

  • Lead the day-to-day development of AI solutions, including writing production-grade code and building scalable systems.
  • Candidate should have good hands-on -Design & Development - Full SDLC in Python, .Net and Strong in Gen AI area.
  • Interact directly with customers to understand requirements, propose solutions, and ensure successful delivery.
  • Design and implement AI-driven features such as chatbots, recommendation engines, Agentic AI, and automation tools.
  • Build secure and scalable AI pipelines that integrate with enterprise systems and cloud platforms.
  • Evaluate and apply AI frameworks, libraries, and platforms aligned with business and technical needs.
  • Select and implement machine learning algorithms, NLP models, and other Gen AI technologies.
  • Ensure compliance with data privacy, security, and ethical standards in all AI/ML implementations.
  • Stay current with advancements in Gen AI tools and recommend their adoption within engineering teams.
  • Provide technical mentorship to developers and engineers working on AI initiatives.
  • Maintain clear documentation and architecture diagrams for deployed AI solutions.

Qualifications

  • Proven experience as an AI Engineer, Machine Learning Engineer, or similar role, with a portfolio of delivered AI/Gen AI solutions.
  • Proficiency in AI platforms and tools such as Azure OpenAI, Hugging Face, and LangChain ecosystem (LangGraph, LangSmith, LangFuse).
  • Strong programming skills in Python, C#, and Node.js, with experience in API development and system integration.
  • Expertise in NLP, machine learning, deep learning, or computer vision.
  • Experience with Azure and AWS cloud platforms and their AI/ML services.
  • Familiarity with enterprise application development and full-stack technologies.
  • Hands-on experience with chatbot development, automation frameworks, and AI-based decision systems.
  • Knowledge of AI ethics, data governance, and security best practices.
  • Excellent problem-solving and communication skills.
  • Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.

Preferred Qualifications

  • Certifications in AI/ML from Azure or AWS.
  • Experience with low-code/no-code AI integration tools.
  • Understanding of DevOps practices for AI/ML model deployment.
  • Experience in customer-facing roles, with the ability to translate business needs into technical solutions.