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Rag Engineer Jobs in Alabama (NOW HIRING)

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

... RAG, graph, hybrid). * Write clean, efficient Python code for data ingestion, feature engineering ... embeddings, and inference services. * Experiment with fine-tuning and optimization of LLMs and task ...

Principal Applied AI Engineer, Finance We are seeking a Principal Applied AI Engineer to lead the ... Experience building RAG-based systems, vector databases, and semantic search architectures.

AI Engineer

Huntsville, AL · On-site

$130K - $141K/yr

Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. * Experience with software development ...

AI Engineer

Huntsville, AL · On-site

$130K - $141K/yr

Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. * Experience with software development ...

Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. * Experience with software development ...

Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. Experience with software development ...

... RAG, prompt engineering, agentic systems, and AI-assisted workflows. • Experience with software development fundamentals, APIs, data handling, and system integration. • Ability to assess ...

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Rag Engineer information

See Alabama salary details

$53.9K

$82K

$139.1K

How much do rag engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for rag engineer in Alabama is $82,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $95,200.00 per year, depending on experience, location, and employer.

What does a RAG engineer do?

A RAG engineer specializes in managing and analyzing Red, Amber, and Green (RAG) status indicators to monitor project or system performance. They often work with data visualization tools and reporting systems to identify issues and support decision-making in technical or operational environments.

What is the difference between Rag Engineer vs Textile Technician?

AspectRag EngineerTextile Technician
Required CredentialsEngineering degree, technical certificationsDiploma or degree in textiles or related field
Work EnvironmentFactories, manufacturing plants, R&D labsTextile mills, production facilities, quality control labs
Industry UsageDesigning and improving rag production processesMonitoring textile quality, testing fabrics

While both roles involve working within the textile industry, a Rag Engineer primarily focuses on the engineering aspects of rag production, process optimization, and machinery, whereas a Textile Technician concentrates on fabric testing, quality control, and ensuring textile standards are met. The roles often overlap in industry settings but differ in technical focus and responsibilities.

Which 3 jobs will survive AI?

For a Rag Engineer, roles that require complex manual dexterity, problem-solving in unpredictable environments, or specialized craftsmanship are less likely to be automated by AI. These include skilled trades such as welding, electrical work, and mechanical repair, which depend on hands-on expertise and adaptability. Continuous learning and certification in specialized tools or techniques help ensure job security in evolving technological landscapes.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working with large datasets, usually in a corporate or research environment. Compensation at this level reflects significant expertise, experience, and responsibility in the AI field.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding advanced certifications, or taking on executive-level responsibilities.
What are popular job titles related to Rag Engineer jobs in Alabama? For Rag Engineer jobs in Alabama, the most frequently searched job titles are:
Infographic showing various Rag Engineer job openings in Alabama as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $82,038 per year, or $39.4 per hour.

SOFTWARE DEVELOPER/ENGINEER (CYBER)

Quantum Research International Inc

Huntsville, AL • On-site

Full-time

Re-posted 14 days ago


Job description

Quantum Research International, Inc. (Quantum) provides our national defense and federal civilian and industry customers with services and products in the following main areas: 1) Cybersecurity and Information Operations; 2) Space Operations and Control; 3) Aviation Systems; 4) Ground, Air and Missile Defense, and Fires Support Systems; 5) Intelligence Programs Support; 6) Experimentation and Test; 7) Program Management; and (8) Audio/Visual Technology Applications. Quantum's Corporate Office is located in Huntsville, AL, but Quantum actively hires for positions nationwide and internationally. We pride ourselves on providing high quality support to the U.S. Government and our Nation's Warfighters. In addition to our corporate office, we have physical locations in Colorado Springs, CO; Crestview, FL; Orlando, FL; and Tupelo, MS.

Mission:

Quantum Research Int. is seeking an Intermediate Software Developer/Engineer to support the development and enhancement of a Retrieval-Augmented Generation (RAG) application that leverages Large Language Models (LLMs) for intelligent inference and response generation. This is a government contract role focused on building secure, reliable AI-assisted systems. The ideal candidate has strong software engineering skills across multiple languages and a solid understanding of AI/ML concepts, with hands-on interest in applied LLM technologies.


Job Responsibilities:

  • Design, develop, and maintain RAG pipelines integrating vector databases, embeddings, and LLMs for accurate, context-aware inference.
  • Implement and optimize retrieval logic, prompt engineering, and post-processing of LLM outputs.
  • Build and integrate backend services using .NET/C#, Go, and/or Python.
  • Collaborate with AI/ML engineers, data scientists, and stakeholders to translate requirements into production-grade features
  • Ensure application security, performance, scalability, and compliance with government standards.
  • Troubleshoot and optimize AI-assisted workflows, including latency, accuracy, and cost considerations.
  • Participate in code reviews, testing, and documentation in an Agile environment.


Required Skills Qualifications:

  • Active TS or ability to obtain TS/SCI clearance
  • At least 3+ years of professional software development experience
  • Strong experience in at least two of the following: .NET/C#, Go (Golang), Python. Solid understanding of all languages listed is a plus.
  • Familiarity at the developer level with AI/ML fundamentals, including embeddings and vector searching, RAG patterns, LLM inference (prompting, context windows, token management), and basic evaluation metrics for generative AI.
  • Experience building RESTful APIs, microservices, or backend systems.
  • Experience with non-frontier (open) AI models running in local or self-hosted environments.

Desired Skills and Qualifications:

  • Direct experience developing and deploying AI-assisted applications (chatbots, knowledge assistants, document intelligence tools)
  • Hands-on work with RAG frameworks/tools such as LangChain, LlamaIndex or similar.
  • Experience implementing vector databases such as Pinecone, Weaviate, Chroma, pgvector, etc.
  • Familarity with Python data/AI ecosystem (NumPy, Pandas, Hugging Face, sentence-transformers)
  • Knowledge of .NET integrations with AI services or Go-based backend services for high-performance AI workloads
  • Experience developing in secure/controlled environments (FedRAMP, gov-cloud, air-gapped enclaves).
  • Understanding of MLOps basics (model versioning, monitoring, CI/CD for AI).



Equal Opportunity Employer/Affirmative Action Employer M/F/D/V:
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. *Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


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