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Ai Prompt Engineer Entry Level Jobs in Texas (NOW HIRING)

Build Generative AI solutions using technologies like LLMs, RAG, Prompt Engineering, and LangChain/LangGraph. * Develop AI Agents and Semantic Kernels for AI-driven enterprise automation solutions.

The role involves developing AI workflows, prompt engineering, and maintaining AI models across various environments. Responsibilities : • AI workflow development • Prompt engineering • ...

Preferred : • Verifiable contributions to vulnerability research (CVEs), exploit development, or open-source offsec projects. • Familiarity with AI prompt engineering for tool/payload generation.

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Evaluate and implement GenAI, LLMs, and prompt engineering techniques * Prototype and experiment with new AI-driven solutions Skills Must have * Programming: Python (preferred), Java, or Scala * ML ...

Understanding of prompt engineering and AI best practices. * Knowledge of cloud platforms (AWS/Azure/Google Cloud Platform)

MDAEdge is a company focusing on innovative AI solutions, and they are seeking a Generative AI ... prompt engineering techniques. • Implement few-shot prompting strategies for improved LLM ...

JAVA Developer with MongoDB

Austin, TX · On-site

$50.50 - $65.50/hr

... AI|Prompt Engineering Overview The Infosys Retail, Consumer Goods, and Logistics unit stands as a globally respected partner of choice, dedicated to helping clients achieve their business goals ...

AI Engineer

Irving, TX · On-site

$120K - $130K/yr

LLMs; prompt engineering; RAG; autonomous decision frameworks; Python/R/SQL/SAS; vector databases; semantic search; knowledge graphs; metadata management; production ML/AI deployment, monitoring ...

Senior Generative AI Engineer

Austin, TX · On-site

$54.75 - $70.50/hr

... prompt engineering, evaluation frameworks, and responsible AI deployment practices. • Experience in CI/CD with building tools such as Maven and Jenkins. • Experience with Kubernetes for container ...

Sr Software Engineer AI-ML

Irving, TX · On-site

$113K - $149K/yr

Echo IT Solutions is a company seeking a Senior Software Engineer specializing in AI and Machine ... via prompt engineering and fine-tuning • MLOps • Cloud platforms (AWS/Azure/GCP) • ...

GEN AI Engineer

Irving, TX · On-site

$106K - $127K/yr

... perform prompt engineering and designing right prompts based on functional use cases. • Should ... generative AI models to solve complex problems. • Ability to perform prompt engineering and ...

Gen AI Engineer

Irving, TX · On-site

$106K - $127K/yr

... perform prompt engineering and designing right prompts based on functional use cases. • Should ... generative AI models to solve complex problems. • Ability to perform prompt engineering and ...

Showing results 21-40

Ai Prompt Engineer Entry Level information

What is an AI prompt engineer at the entry level?

An entry-level AI Prompt Engineer is a professional who specializes in designing, testing, and refining prompts used to interact with AI language models like ChatGPT. Their main responsibility is to create effective prompts that guide AI systems to generate accurate, relevant, and useful responses for specific tasks or applications. Entry-level prompt engineers often work closely with data scientists, developers, and product teams to improve AI outputs, ensuring the technology meets user needs. This role requires strong analytical skills, creativity, and a basic understanding of natural language processing and machine learning concepts.

What is the difference between Ai Prompt Engineer Entry Level vs Ai Content Specialist?

AspectAi Prompt Engineer Entry LevelAi Content Specialist
Required CredentialsBasic knowledge of AI, programming, or linguistics; often a degree in related fieldsWriting, editing, or marketing background; often a degree in communications or related fields
Work EnvironmentTech companies, AI startups, or freelance projectsMedia agencies, content creation firms, or corporate marketing teams
Employer & Industry UsagePrimarily in AI development and machine learning industriesIn advertising, media, and digital marketing sectors

While both roles involve working with digital content and technology, Ai Prompt Engineers focus on designing prompts for AI models, whereas Ai Content Specialists create and manage content for various platforms. The roles share some technical skills but differ in their core responsibilities and industry applications.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize AI language models for various applications. The role requires skills in natural language processing, creativity, and familiarity with AI tools like GPT, with job growth driven by expanding AI adoption across industries.

What are the key skills and qualifications needed to thrive as an entry-level AI prompt engineer, and why are they important?

To thrive as an Entry-Level AI Prompt Engineer, you need a foundational understanding of natural language processing, prompt design, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with AI platforms like OpenAI, experience with prompt engineering tools, and basic knowledge of Python or similar languages are typically expected. Strong analytical thinking, creativity, and effective communication help you craft clear, high-performing prompts and collaborate with cross-functional teams. These skills are essential for developing accurate, user-friendly AI outputs and ensuring the practical success of AI-driven projects.

What are some common challenges faced by entry-level AI prompt engineers when working with large language models?

Entry-level AI Prompt Engineers often encounter challenges such as crafting effective prompts that elicit accurate and relevant responses from large language models. Balancing specificity and creativity while avoiding ambiguity can be tricky, and it's common to iterate multiple times before achieving the desired output. Additionally, understanding the model's limitations and biases is essential to avoid unintended results. Collaboration with data scientists and software engineers is frequent, as prompt engineers may need to integrate their work into larger AI systems or workflows.

How to get into AI prompt engineering?

To enter AI prompt engineering, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn to craft effective prompts through practice and understanding of model behavior; certifications in AI or data science can also be beneficial.
What are the most commonly searched types of Ai Prompt Engineer jobs in Texas? The most popular types of Ai Prompt Engineer jobs in Texas are:
What job categories do people searching Ai Prompt Engineer Entry Level jobs in Texas look for? The top searched job categories for Ai Prompt Engineer Entry Level jobs in Texas are:
What cities in Texas are hiring for Ai Prompt Engineer Entry Level jobs? Cities in Texas with the most Ai Prompt Engineer Entry Level job openings:
Infographic showing various Ai Prompt Engineer Entry Level job openings in Texas as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution.

Senior Software Engineer - Contact Center Technology

ASCENSUS

Amarillo, TX • Remote

$112K - $147K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 24 days ago


Ascensus rating

8.2

Company rating: 8.2 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.

Section 1: Position Summary

At Ascensus, we are building a team that is empowered to use AI to solve the business needs by having a rapid development and deployment pipeline with a focus on rapid iteration, continuous delivery, and intelligent automation.

We are looking to add a software engineer who will design, develop, and support conversational AI solutions that enhance customer and associate experiences across our contact center platforms. This role combines software engineering, generative AI, prompt engineering, and customer engagement technologies to deliver virtual agents, intelligent self-service capabilities, agent assist solutions, and AI-powered business workflows. If you're AI-Forward and excited to explore and apply the latest tools and technologies to solve real-world business problems, this is the role for you. You'll work with a modern tech stack including Python, .NET, Azure OpenAI, LangChain, PostgreSQL, Docker, Cursor, Git, Azure DevOps, NICE CXone, AI Agents, and conversational AI technologies to deliver high value software to our business.

Section 2: Job Functions, Essential Duties and Responsibilities

Design, develop, test, and maintain conversational AI experiences including voice bots, chatbots, virtual assistants, and agent-assist solutions using NICE CXone, Azure OpenAI, and related technologies.

Create and optimize conversational flows, prompts, intents, and knowledge retrieval mechanisms to improve customer and associate experiences.

Analyze conversation transcripts and interaction data to continuously improve AI accuracy, containment rates, and customer satisfaction.

Develop integrations between NICE CXone and internal systems using APIs, event-driven architectures, and AI services.

Support the design and implementation of intelligent routing, self-service, and automation capabilities within the contact center ecosystem.

Partner with contact center business teams to identify opportunities for AI-driven process automation and customer experience improvements.

Collaborate with cross-functional teams to integrate AI capabilities using Azure OpenAI, Langchain, and AI Agents.

Apply prompt engineering techniques to optimize LLM interactions for precision, consistency, and business value.

Monitor AI solution performance and implement safeguards to ensure accuracy, compliance, reliability, and responsible AI usage.

Build and maintain containerized applications using Docker and deploy via Azure DevOps pipelines.

Work with PostgreSQL and other data technologies to design efficient, reliable data models.

Develop and consume REST APIs to enable seamless integration across services and platforms.

Participate in sprint planning, estimation, and retrospectives as part of an Agile Scrum team.

Contribute to the evolution of our AI-driven development environment using tools like Cursor.

Stay current with emerging technologies and bring a mindset of continuous learning and experimentation.

Section 3: Experience, Skills, Knowledge Requirements

A strong interest in leveraging AI and the latest tools to drive innovation and efficiency.

Extensive experience using .NET to develop web applications and back-end services

Extensive experience designing, developing, and integrating REST APIs in distributed systems and enterprise applications.

Ability to design, develop, test, and maintain scalable MCP server architectures using Python

Experience with Docker, Git, Azure DevOps, CI/CD pipelines, automated testing, and infrastructure as code.

Experience building AI solutions using Azure OpenAI, LangChain, Retrieval-Augmented Generation (RAG), AI agents, prompt engineering techniques, and related AI development frameworks.

Experience with prompt engineering and optimizing LLM interactions for accuracy and reliability.

Experience with NICE CXone or similar contact center platforms such as Genesys, Five9, Amazon Connect, or Cisco Contact Center.

Understanding of contact center operations, including inbound and outbound customer engagement.

Familiarity with IVR design, intelligent routing, call flows, skills-based routing, and self-service automation.

Experience integrating contact center platforms with CRM, case management, and enterprise business systems.

Experience designing, implementing, or supporting virtual agents, chatbots, voice bots, or conversational AI platforms.

Understanding of natural language processing (NLP), natural language understanding (NLU), speech recognition, and text-to-speech technologies.

Experience evaluating and improving AI-generated responses for accuracy, effectiveness, and customer experience outcomes.

Experience working with other developers, quality engineers (QE), ops engineers and support engineers to ensure smooth deployment and continual operation

Strong problem-solving skills, attention to detail, and a passion for learning and applying new technologies.

Excellent communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.

Familiarity or experience with Agile engineering practices (test driven development, continuous integration and pair programming, etc.

Ability to work with legacy systems while contributing to modernization efforts.

Familiarity with Agile methodologies and open-source development practices.

The national average salary range for this role is$100K-160K in base pay, exclusive of any bonuses and benefits.This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case-by-case basis. Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc. For more information, please visitcareers.ascensus.com/#Benefits

Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.


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