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Generative Ai Developer Jobs in Houston, TX (NOW HIRING)

myDNA, Inc.

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

You will integrate generative-AI features into our products and internal platforms, combine ... NET and SQL engineering teams responsible for backend services and data-layer integration with AI ...

Gene by Gene

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

They are seeking a Senior AI Developer to guide their AI/ML strategy and integrate generative-AI features into their products, providing architectural direction and code-level guidance to engineering ...

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 ...

Hearst

AI Newsroom Developer

Houston, TX · On-site

Build, evaluate, pilot and integrate generative AI and automation tools, including skills and ... Engineering and development * Identify opportunities where AI can augment journalism (e.g ...

Hearst Newspapers

AI Newsroom Developer

Houston, TX · On-site

Build, evaluate, pilot and integrate generative AI and automation tools, including skills and ... Engineering and development * Identify opportunities where AI can augment journalism (e.g ...

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Generative Ai Developer information

See Houston, TX salary details

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$41

$93

How much do generative ai developer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for generative ai developer in Houston, TX is $41.79, according to ZipRecruiter salary data. Most workers in this role earn between $21.73 and $50.58 per hour, depending on experience, location, and employer.

What are some common challenges faced by Generative AI Developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

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

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

Is generative AI a good career?

Generative AI is a rapidly growing field with high demand for skilled developers who can create and optimize AI models using tools like deep learning frameworks. Careers in this area often require knowledge of machine learning, programming, and data handling, offering opportunities in tech companies, research, and startups. The field provides competitive salaries and continuous learning opportunities due to its evolving nature.

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

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is the salary of a generative AI developer?

The salary of a generative AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior developers with expertise in machine learning frameworks and deep learning may earn higher compensation, especially in tech hubs or companies with advanced AI projects.

What does a generative AI developer do?

A generative AI developer designs and builds algorithms that enable machines to create content such as text, images, or audio. They work with machine learning frameworks, train models on large datasets, and optimize algorithms for performance and accuracy, often using tools like Python and TensorFlow or PyTorch.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence development, such as a senior Generative AI Developer or AI research lead, often involving advanced skills in machine learning, deep learning, and large language models. These roles usually require extensive experience, specialized knowledge, and may include responsibilities like designing AI systems, managing teams, or overseeing AI strategy in organizations with competitive compensation packages. Such salaries are common in top tech companies or specialized AI firms for highly skilled professionals.

What is a Generative AI Developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.
What are popular job titles related to Generative Ai Developer jobs in Houston, TX? For Generative Ai Developer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Houston, TX look for? The top searched job categories for Generative Ai Developer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Generative Ai Developer jobs? Cities near Houston, TX with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Houston, TX as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $86,919 per year, or $41.8 per hour.

Senior AI Developer

myDNA, Inc.

Houston, TX • On-site

$52 - $68.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

Our Purpose
Our mission is to build a healthier and more connected world with precision health and genealogy services.
We empower individuals with actionable insights into their genetic makeup, fostering a deeper understanding of their ancestry, health, and wellness. By integrating the experience of Gene by Gene Laboratory Services, FamilyTreeDNA genealogy, and myDNA reporting services, we strive to deliver cutting-edge genetic testing and personalized solutions that inspire informed decisions and enhance quality of life. Our team is dedicated to advancing the field of genomics through innovation, research, and a commitment to excellence.
Our Values
All employees are expected to demonstrate our values of Innovate, One Team, and Integrity when carrying out the accountabilities and responsibilities of their role. This how we show up every day for ourselves, our colleagues and our customers and strategic partners to deliver our vision and strategic goals.
Position Overview
We are seeking a Senior AI Developer to join our engineering team. In this senior role you will help shape and execute our AI/ML strategy, guiding our journey from early generative-AI capabilities into a mature, production-grade AI practice. You will integrate generative-AI features into our products and internal platforms, combine retrieval-augmented generation (RAG) with knowledge graphs to ground model outputs in our domain data, and own AI features end-to-end - model selection, prompt engineering, retrieval, fine-tuning where appropriate, deployment, observability, cost governance, and compliance posture. As a senior individual contributor, you will also provide architectural direction and code-level guidance to existing engineering teams who own day-to-day delivery of supporting backend and data-layer work.
Accountabilities and Responsibilities
  • Helps set technical direction for AI/ML - evaluates models, frameworks, vector stores, graph databases, evaluation tooling, and orchestration patterns; makes recommendations and leads adoption.
  • Designs and implements production generative-AI features using managed foundation-model services, applying guardrails, contextual grounding, structured output, tool use, and agentic workflow patterns.
  • Builds retrieval-augmented generation (RAG) pipelines - document ingestion, chunking, embeddings, vector search, hybrid retrieval, and reranking - selecting the storage approach that best fits each use case.
  • Designs and operates knowledge graphs to model the domain - schema and ontology design, entity resolution, relationship extraction, and integration with LLM workflows (GraphRAG, hybrid graph + vector retrieval).
  • Trains and fine-tunes models where it produces measurable lift, including dataset preparation, supervised and parameter-efficient fine-tuning, baseline evaluation, and deployment.
  • Provides architectural direction and code-level guidance to existing .NET and SQL engineering teams responsible for backend services and data-layer integration with AI features.
  • Defines and enforces LLMOps / MLOps practices: prompt and model versioning, evaluation harnesses, regression testing, latency and cost SLOs, and reproducible training pipelines.
  • Implements observability for AI systems and makes the data actionable across token usage, latency, hallucination and refusal rates, contextual-grounding faithfulness, cost-per-request, and quality metrics.
  • Builds and operates AI systems for audit-readiness - data lineage, prompt and model version traceability, decision logging, access controls, and evidence collection.
  • Mentors fellow engineers, leads code review, contributes to architecture decision records, and helps shape the team's AI engineering standards.
  • Partners with security and compliance to ensure AI systems meet data privacy, PII handling, prompt injection defense, and responsible-AI requirements throughout the model lifecycle.

Position Requirements
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
  • 10+ years of professional software engineering experience.
  • 2+ years building production AI/LLM features on a managed foundation-model platform.
  • Demonstrable experience training and/or fine-tuning models - supervised fine-tuning, parameter-efficient fine-tuning (LoRA, QLoRA), or classical ML - including dataset preparation, evaluation, and deployment.
  • Production experience with knowledge graphs - schema and ontology design, a graph database, and at least one graph query language (Cypher, SPARQL, or Gremlin).
  • Demonstrable production experience in regulated environments. Compliance is a hard requirement for this role.
  • 3+ years of production cloud experience including at least one managed AI service.
  • Solid grounding in prompt engineering, RAG, embeddings, vector search, guardrails, contextual grounding, and LLM evaluation methodology.
  • Ability to provide architectural direction and technical guidance to existing engineering teams; senior IC influence rather than line management.
  • Strong testing discipline - unit, integration, and contract testing, plus AI-specific evaluation harnesses.
  • Excellent written and verbal communication; ability to explain AI tradeoffs to non-technical, legal, and compliance stakeholders.

Compliance, Governance & Technologies
This role operates in a regulated environment. The Senior AI Developer is expected to understand how regulatory obligations apply to AI/ML systems specifically - training data, PII handling, model output controls, audit logging, evidence retention, and the limits regulation places on third-party model usage - and to produce the operational evidence that carries our AI capabilities through audits. Beyond these foundational compliance capabilities, we are seeking a developer with strong technical versatility across modern AI environments. Highly valued qualifications include:
  • Hands-on experience with managed AI services across major cloud providers - for example Amazon Bedrock, Amazon SageMaker, Google Vertex AI, or Azure AI Foundry - is a plus. Familiarity across more than one provider is preferred.
  • Production C# / .NET experience with ASP.NET Core and Entity Framework Core.
  • Production SQL experience on Microsoft SQL Server and PostgreSQL - schema design, query tuning, indexing, and performance troubleshooting.
  • Comfort working with on-premises database infrastructure and hybrid (on-prem / cloud) data architectures.
  • Python proficiency for ML workflows.
  • Production Infrastructure-as-Code experience (Terraform, CDK, CloudFormation, or Pulumi).
  • Experience designing and consuming REST APIs, including modern authentication patterns (OAuth 2.0, OIDC, JWT).
  • Broader machine learning experience: classical/predictive ML, deep learning frameworks, or experience with managed training platforms.
  • GraphRAG patterns, entity resolution, and automated knowledge-graph construction from unstructured sources.
  • Responsible-AI practices - bias evaluation, red-teaming, OWASP Top 10 for LLMs, prompt injection defense, NIST AI RMF, ISO/IEC 42001.
  • Container experience (Docker, Kubernetes) and event-driven architecture experience.
  • Experience supporting third-party audits - evidence collection and auditor-facing documentation.
  • Open-source contributions, technical writing, conference talks, or research publications in AI/ML are a strong plus.
  • Advanced degree (MS or PhD) in CS, ML, Statistics, or a related quantitative field is preferred.

Why Join Us
At Gene by Gene, you'll join a mission-driven team advancing the science of genetics and discovery. You'll have the opportunity to shape meaningful campaigns, tell compelling brand stories, and collaborate with talented professionals who share your passion for creativity, curiosity, and impact.
Comprehensive Benefits
  • Medical & Health Savings: Choice of 3 medical tiers generously sponsored by the company, with a monthly $50-$100 employer HSA contribution based on plan type and dependent level.
  • 100% Covered Dental & Vision: No premium costs for employees or dependents.
  • 401(k) Matching: Generous 50% company match up to 6% of annual base salary.
  • Diverse PTO Framework: Structured time off incorporating vacation, sick leave, mental health days, personal days, company holidays, and a flexible floating holiday.
  • Income Protection & Family Leave: Full company sponsorship of Short-Term and Long-Term Disability (STD/LTD) alongside Paid Family Leave offerings.

Apply