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Llm Developer Jobs in Alabama (NOW HIRING)

deciBel Research, Inc.

Jr. Software Developer

Huntsville, AL · On-site

$62K - $81K/yr

... Model (LLM) technologies * Create scalable data models and services that support analytics ... Collaborate with systems engineers, software developers, data scientists, UX designers, and product ...

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How much do llm developer jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for llm developer in Alabama is $45.47, according to ZipRecruiter salary data. Most workers in this role earn between $35.72 and $55.14 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a Llm developer?

A Large Language Model (LLM) developer designs, trains, and fine-tunes large-scale AI models for natural language processing tasks. They work with machine learning frameworks, handle large datasets, and optimize models for performance and accuracy, often requiring knowledge of programming languages like Python and tools such as TensorFlow or PyTorch.
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Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Alabama as of July 2026, with employment types broken down into 84% Full Time, 5% Part Time, 1% Temporary, and 10% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $94,576 per year, or $45.5 per hour.

SOFTWARE DEVELOPER/ENGINEER (CYBER)

Quantum Research International Inc

Huntsville, AL • On-site

Full-time

Re-posted 20 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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