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Ai Engineer Developer Jobs in Texas (NOW HIRING)

Wise Skulls

AI Engineer/Developer

Austin, TX · On-site

AI Engineer/Developer Location: Austin, TX (Hybrid) Duration: 6 months (possibility of extension) Implementation Partner: Infosys End Client: To be disclosed JD: Key Responsibilities: * Design ...

BIGDATAAPPTECH LLC

AI Engineer

Irving, TX · On-site

We are seeking a talented AI Engineer with hands-on experience building Generative AI applications and intelligent agent systems. The ideal candidate will have practical expertise working with Large ...

GEI Consultants

AI Engineer

Dallas, TX

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI's priority digital and AI initiatives. This role focuses on ...

Service Global, Inc

AI Engineer

Austin, TX · On-site

AI platform/developer tooling, evaluation & observability frameworks, AI security & guardrails Mandatory Skills Strong backend engineering in TypeScript/Node.js (preferred) or Python, with production ...

GEI Consultants

AI Engineer

Dallas, TX · On-site

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI's priority digital and AI initiatives. This role focuses on ...

SWBC

AI Engineer

San Antonio, TX · On-site

AWS Certified Generative AI Developer - Professional * Experience training, fine-tuning, or hosting open-source large language models internally. * Experience with AWS Bedrock and Bedrock AgentCore.

Hexaware Technologies, Inc

AI Engineer

Plano, TX · On-site

Extensive knowledge and expertise of leveraging GitHub Copliot/Claude Code/Amazon Q Developer to ... Agentic AI Development including multi-agent systems for autonomous workflows. * A/B testing of AI ...

INSPYR Solutions

AI Engineer

Dallas, TX · On-site

... developer experience improvements * Participate in system architecture, technical design discussions, and implementation planning across cloud and AI initiatives * Support the integration of AI ...

Swbc

AI Engineer

San Antonio, TX

AWS Certified Generative AI Developer - Professional * Experience training, fine-tuning, or hosting open-source large language models internally. * Experience with AWS Bedrock and Bedrock AgentCore.

SWBC

AI Engineer

San Antonio, TX

AWS Certified Generative AI Developer - Professional * Experience training, fine-tuning, or hosting open-source large language models internally. * Experience with AWS Bedrock and Bedrock AgentCore.

1 point system

AI Engineer

Plano, TX · On-site

Applied AI & Tooling Knowledge · Deep understanding of AI ecosystems such as OpenAI, Anthropic, Hugging Face, Azure AI, AWS Bedrock, etc. · Familiarity with developer tools like GitHub Copilot, GPT ...

Precision Technologies Corp

AI Engineer

Dallas, TX · On-site

AI Engineer Location: Dallas, TX Employment Type: Contract Key Skills - AI, Python, Rag, LLM Overview We are seeking an AI Engineer with proven experience in building and scaling AI-powered ...

h2o.ai

Principal AI Engineer

Dallas, TX · On-site

About This Opportunity We are looking for a Principal AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems ...

Howard Energy Partners

AI Engineer

San Antonio, TX · On-site

The AI Engineer is responsible for driving the practical adoption of AI across the organization. This role is the "bridge" between business challenges and the technical capabilities of AI ...

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Ai Engineer Developer information

What is a 900000 AI job?

A $900,000 AI engineer developer role typically refers to a high-level position with a total compensation package that includes salary, bonuses, and stock options. Such roles are usually found in leading tech companies or startups and require advanced skills in machine learning, deep learning, and programming languages like Python or TensorFlow. These positions often demand extensive experience and a strong track record of AI project development.

What is the difference between Ai Engineer Developer vs Data Scientist?

AspectAi Engineer DeveloperData Scientist
Required CredentialsBachelor's in CS, AI, or related; programming skills; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops AI models, algorithms, and systems; often in tech or R&D teamsAnalyzes data, builds models, and interprets insights; in analytics or research teams
Employer & Industry UsageTech companies, AI startups, R&D divisionsFinance, healthcare, marketing, and tech sectors

While both roles involve working with data and machine learning, Ai Engineer Developers focus on building and deploying AI systems and algorithms, whereas Data Scientists analyze data to extract insights and inform decision-making. The roles often overlap but differ in primary responsibilities and skill emphasis.

What engineer makes 500,000 a year?

Senior AI engineers or machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in tools like TensorFlow or PyTorch can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Such roles often require advanced degrees, certifications, and a strong track record of successful projects.

Which 3 jobs will survive AI?

AI engineers and developers are likely to continue thriving as they design, implement, and maintain AI systems, requiring skills in programming, machine learning, and data analysis. Data scientists and cybersecurity specialists are also expected to remain in demand due to the need for data management and protecting AI infrastructure. These roles involve complex problem-solving and adaptability that AI is less likely to fully automate soon.
What are popular job titles related to Ai Engineer Developer jobs in Texas? For Ai Engineer Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Ai Engineer Developer jobs in Texas look for? The top searched job categories for Ai Engineer Developer jobs in Texas are:
What cities in Texas are hiring for Ai Engineer Developer jobs? Cities in Texas with the most Ai Engineer Developer job openings:
Ai Engineer Developer jobs near you
Infographic showing various Ai Engineer Developer job openings in Texas as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI Engineer/Developer

AI Engineer/Developer

Wise Skulls

Austin, TX • On-site

Contractor

Posted 5 days ago

Job description

Title: AI Engineer/Developer
Location: Austin, TX (Hybrid)
Duration: 6 months (possibility of extension)
Implementation Partner: Infosys
End Client: To be disclosed
JD:
Key Responsibilities:
  • Design, develop, and optimize machine learning models and AI systems (e.g., NLP, computer vision, generative AI/LLMs, recommendation systems)
  • Build and maintain data pipelines for training and inference
  • Deploy models into production environments and ensure scalability, reliability, and performance
  • Collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products
  • Evaluate and fine-tune models, conduct experiments, and analyze results
  • Monitor deployed models for drift, bias, and performance degradation
  • Stay current with emerging AI/ML research, tools, and best practices

Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field
  • Strong programming skills in Python (and/or Java, C++)
  • Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools
  • Understanding of algorithms, statistics, and data structures
  • Experience with LLMs, transformers, or generative AI is a plus

Preferred Skills:
  • Experience with MLOps/CI-CD for ML pipelines
  • Knowledge of distributed computing and model optimization (quantization, pruning)
  • Strong problem-solving and communication skills

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