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Entry Level Retrieval Augmented Generation Jobs in Dallas, TX

Photon

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and ...

Winaxis

AI Engineer

Dallas, TX · On-site

Build and integrate solutions using Large Language Models (OpenAI, Gemini, Claude, Llama, etc.). * Assist in developing Retrieval-Augmented Generation (RAG) pipelines and AI agents. * Write clean ...

Photon

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

OOP, design patterns, modular architecture. • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate ...

Echo IT Solutions

Sr Software Engineer AI-ML

Irving, TX · On-site

$113K - $149K/yr

... • Retrieval-Augmented Generation (RAG) • Model fine-tuning Company : Echo IT Solutions provides IT consulting, managed services, cloud, cybersecurity, data, and custom software development.

United Airlines

Senior Software Engineer

Irving, TX · On-site

$73K - $174K/yr

Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines to improve response quality and domain-specific knowledge retrieval. * Conduct model evaluation, prompt engineering, and ...

United Airlines

Senior Software Engineer

Dallas, TX · On-site

$73K - $174K/yr

Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines to improve response quality and domain-specific knowledge retrieval. * Conduct model evaluation, prompt engineering, and ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. Collaboration: Communicate proactively with teammates, AI research ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. * Collaboration: Communicate proactively with teammates, AI research ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. * Collaboration: Communicate proactively with teammates, AI research ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. Collaboration: * Communicate proactively with teammates, AI research ...

Redolent, Inc.

Senior Full Stack Engineer

Irving, TX · On-site

Experience with LLMs, generative AI, NLP, retrieval-augmented generation (RAG), or prompt orchestration frameworks. * Experience designing multi-cloud application architectures and integration ...

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Entry Level Retrieval Augmented Generation information

What is an entry level retrieval augmented generation job?

Entry level retrieval augmented generation jobs involve assisting in the development and optimization of AI systems that combine information retrieval techniques with generative models. Employees in these roles typically help build, test, and maintain systems where AI retrieves relevant data from large databases to enhance the accuracy and relevance of generated responses. These positions often require basic skills in programming, machine learning, and familiarity with natural language processing. They are ideal for recent graduates or those new to AI, offering opportunities to learn about modern AI architectures and contribute to innovative projects. Entry level workers may work under the guidance of senior engineers or researchers, supporting experimentation and evaluation tasks.

What are the key skills and qualifications needed to thrive as an entry level retrieval augmented generation specialist?

To thrive as an Entry Level Retrieval Augmented Generation Specialist, you need a foundational understanding of natural language processing (NLP), information retrieval, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, vector databases (like FAISS or Pinecone), and frameworks for large language models (LLMs) is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and troubleshoot solutions in team environments. These skills and qualities are crucial for building reliable RAG systems that deliver accurate and relevant information to users.

What are some common challenges faced by entry-level professionals working in retrieval augmented generation roles?

Entry-level professionals in Retrieval Augmented Generation (RAG) often encounter challenges such as understanding how to effectively combine information retrieval systems with large language models and adapting to rapidly evolving technologies. Balancing accuracy and efficiency when designing or fine-tuning retrieval pipelines can also be a learning curve. Additionally, you may need to collaborate closely with data engineers, machine learning specialists, and product teams to ensure the RAG system aligns with business requirements. Staying proactive in learning and engaging with peers can help overcome these challenges and accelerate career growth.

What is the difference between Entry Level Retrieval Augmented Generation vs Entry Level Data Scientist?

AspectEntry Level Retrieval Augmented GenerationEntry Level Data Scientist
Required CredentialsBasic programming, understanding of NLP and AI conceptsBachelor's in Data Science, Computer Science, or related field
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Industry UsageAI development, NLP applications, chatbot creationData analysis, predictive modeling, data-driven decision making

Entry Level Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with generative AI, requiring knowledge of NLP and programming. Entry Level Data Scientist involves analyzing data, building models, and deriving insights, often with a broader data analysis skill set. While both roles require technical skills, Retrieval Augmented Generation is more specialized in AI model development, whereas Data Scientists work across various data projects.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Dallas, TX?

The most popular types of Retrieval Augmented Generation jobs in Dallas, TX are:

What are popular job titles related to Entry Level Retrieval Augmented Generation jobs in Dallas, TX?

For Entry Level Retrieval Augmented Generation jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Retrieval Augmented Generation jobs in Dallas, TX look for?

The top searched job categories for Entry Level Retrieval Augmented Generation jobs in Dallas, TX are:

Entry Level Retrieval Augmented Generation jobs near you
Infographic showing various Entry Level Retrieval Augmented Generation job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI Engineer - AWS Bedrock, LLMs, and Conversational AI

Dallas, TX • On-site

HCL Global Systems Inc
IT Services • 1 - 5K employees
Learn more about HCL Global Systems Incexternal

Full-time

Re-posted 21 days ago

Job description

Job Summary:
HCL Global Systems Inc is seeking a highly skilled AI Engineer with expertise in building advanced AI-driven applications using AWS Bedrock and large language models. The role involves developing scalable APIs, implementing AI solutions, and collaborating with cross-functional teams to deliver innovative AI applications.
Responsibilities:
• Design, develop, and deploy AI applications leveraging AWS Bedrock and other AWS AI/ML services.
• Engineer effective prompts and prompt templates to optimize LLM performance and contextual understanding.
• Build and maintain intelligent AI agents capable of multi-turn conversations and task automation using Conversational AI Generation (CAG) techniques.
• Develop scalable APIs using Python and FastAPI to serve AI models and conversational agents.
• Implement Retrieval-Augmented Generation (RAG) frameworks to enhance knowledge retrieval and response accuracy.
• Manage and optimize vector databases (e.g., Pinecone, Weaviate) for semantic search and similarity matching.
• Design and apply scoring and ranking algorithms to improve LLM output relevance and user experience.
• Collaborate closely with data scientists, software engineers, and product managers to integrate AI capabilities into products.
• Optimize AI workflows and infrastructure on AWS for scalability, security, and cost-efficiency.
• Stay current with emerging AI technologies, prompt engineering best practices, and AWS innovations.
Qualifications:
Required:
• Proven experience with AWS Bedrock and AWS AI/ML ecosystem.
• Strong proficiency in Python programming, with practical experience using FastAPI for API development.
• Expertise in prompt engineering to design, test, and refine prompts for LLMs.
• Experience building AI agents and conversational AI systems using CAG methodologies.
• Working knowledge of Retrieval-Augmented Generation (RAG) and its application in AI solutions.
• Hands-on experience with vector databases such as Pinecone, Weaviate, or similar platforms.
• Familiarity with scoring and ranking techniques for large language model outputs.
• Solid understanding of AWS cloud infrastructure components including IAM, Lambda, S3, and EC2.
• Excellent collaboration skills within agile, cross-functional teams.
• Strong analytical and problem-solving abilities.
• Effective communication skills to convey complex AI concepts clearly.
Company:
HCL Global Systems is a staffing and recruiting company providing consulting and business solutions. Founded in 2005, the company is headquartered in Farmington Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About HCL Global Systems

Sourced by ZipRecruiter

HCL Global Systems is One of the Best IT Consulting Firm specialized in Application Development, Quality Testing, IT Courses Training, Staffing and Recruitment services. With wide range of experience, We are confident in our ability to help our Customers grow and improve their businesses. More than likely, regardless of the nature and scope of the problem, Our dedicated Team of Professionals can help you to achieve a cost effective business solution.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

2005

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