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Apprentice Generative Ai Engineer Jobs in Texas (NOW HIRING)

SWBC

AI Engineer

San Antonio, TX · On-site

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... You'll work with emerging technologies, including agentic AI frameworks, generative AI models, and ...

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 ...

SWBC

AI Engineer

San Antonio, TX

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... You'll work with emerging technologies, including agentic AI frameworks, generative AI models, and ...

Swbc

AI Engineer

San Antonio, TX · On-site

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... You'll work with emerging technologies, including agentic AI frameworks, generative AI models, and ...

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 ...

Wise Skulls

AI Engineer/Developer

Austin, TX · On-site

Title: AI Engineer/Developer Location: Austin, TX (Hybrid) Duration: 6 months (possibility of ... vision, generative AI/LLMs, recommendation systems) * Build and maintain data pipelines for ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures. * Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript)

Stantec

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

Your Opportunity We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence ...

Undisclosed

AI Engineer-Agentic AI

Dallas, TX · On-site

$85K - $130K/yr

Stay current with the latest advancements in Generative AI, Agentic AI, and LLM technologies. Required Qualifications * 3+ years of professional software engineering experience. * 2+ years of ...

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Apprentice Generative Ai Engineer information

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

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

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Apprentice Generative Ai Engineer jobs near you
AI Engineer

AI Engineer

SWBC

San Antonio, TX • On-site

Full-time

Medical, Retirement

This job post has expired 2 days ago. Applications are no longer accepted.

SWBC rating

6.5

Company rating: 6.5 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Job description

SWBC is seeking a talented individual to join our growing AI team as an AI Engineer. This role is responsible for designing, developing, and deploying AI-powered solutions that drive operational improvements and business outcomes across the organization. The ideal candidate will have hands-on experience with agentic AI systems, large language models (LLMs), prompt engineering, and production-ready AI applications within a security-conscious and regulated environment.
Why you'll love this role:
As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by building and deploying intelligent solutions that solve real business challenges. You'll work with emerging technologies, including agentic AI frameworks, generative AI models, and AWS AI services, while partnering with business and technology teams to deliver measurable outcomes.
This is an opportunity to work in a fast-moving environment where ideas quickly move from concept to production. If you enjoy building, experimenting, and implementing AI solutions that create operational efficiencies and business value, this role offers the chance to make a meaningful impact while helping shape SWBC's AI capabilities.
Essential duties include the following:
  • Design, develop, and deploy AI-powered applications and agentic AI solutions that support business and operational objectives.
  • Build, test, and optimize AI workflows utilizing foundation models, open-source LLMs, and internally trained models.
  • Develop and maintain AI agents, APIs, and supporting services that enable scalable and secure AI operations.
  • Implement retrieval-augmented generation (RAG), vector database integrations, prompt engineering techniques, and agent-to-agent communication patterns.
  • Utilize frameworks such as LangChain, LangGraph, Strands, and AWS Bedrock AgentCore to develop enterprise AI solutions.
  • Deploy AI and machine learning models into production environments while ensuring reliability, scalability, and performance.
  • Partner with cross-functional stakeholders to evaluate business use cases and translate requirements into AI-driven solutions.
  • Develop and support data pipelines that enable model training, inference, and AI application performance.
  • Ensure AI solutions adhere to Responsible AI principles, security standards, governance requirements, and regulatory compliance expectations.
  • Contribute to the evolution of SWBC's AI architecture as the organization continues to expand and mature its AI platform capabilities.
  • Document solution architecture, workflows, models, and technical processes to support operational excellence and knowledge sharing.
  • Continuously evaluate emerging AI technologies, models, and frameworks to identify opportunities for innovation and business improvement.

Serious candidates will possess the minimum qualifications:
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
  • Minimum of three (3) years of experience developing AI, machine learning, or generative AI solutions in a professional environment.
  • Hands-on experience developing and deploying solutions using Python.
  • Experience building and implementing agentic AI systems and AI-powered workflows.
  • Working knowledge of large language models (LLMs), foundation models, prompt engineering, and generative AI concepts.
  • Experience leveraging both pre-trained models and custom-trained AI models.
  • Experience developing APIs and integrating AI services into enterprise applications.
  • Understanding of vector databases, retrieval-augmented generation (RAG), fine-tuning approaches, and model deployment practices.
  • Experience working within AWS cloud environments and AWS AI services.
  • Knowledge of data pipelines and how they support AI and machine learning workflows.
  • Experience operating within a regulated environment with an understanding of security, governance, and Responsible AI principles.
  • Strong problem-solving skills with the ability to execute in a fast-paced environment and deliver solutions quickly.
  • Strong communication and collaboration skills with the ability to work effectively across business and technical teams.

Preferred Skills:
  • AWS Certified Machine Learning Engineer - Associate certification.
  • 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.
  • Experience with LangChain, LangGraph, and Strands frameworks.
  • Familiarity with Model Context Protocol (MCP) and agent-to-agent communication protocols.
  • Experience with C# development.
  • Experience supporting AI solutions through production deployments and ongoing optimization.
  • Exposure to MLOps practices and AI operationalization.

SWBC offers*:
  • Competitive overall compensation package
  • Work/Life balance
  • Employee engagement activities and recognition awards
  • Years of Service awards
  • Career enhancement and growth opportunities
  • Leadership Academy and Mentor Program
  • Continuing education and career certifications
  • Variety of healthcare coverage options
  • Traditional and Roth 401(k) retirement plans
  • Lucrative Wellness Program

*Based upon employee eligibility
Additional Information:
SWBC is a Substance-Free Workplace and requires pre-employment drug testing.
Please note, SWBC does not hire tobacco users as allowed by law.
To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

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