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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 ...

New

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

Posted today

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

Posted today

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

Posted today

Quora

$139K - $168K/yr

Our small engineering team works on challenging problems every day. We have a culture that's rooted ... Experience of transformer models and LLM applications * Strong knowledge of Python or C++, or the ...

Posted today

Genuine Parts Company

Search Engineer

Birmingham, AL · On-site

Search Engineer (Software Engineer III) Must be Authorized to work in the U.S. without sponsorship ... Build and integrate ML inference pipelines: embedding models, transformer-based classifiers, LLM ...

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How much do llm developer jobs pay per hour?

As of Jul 15, 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 is the salary of LLM developer?

The salary of an LLM developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of projects. Skilled developers with expertise in machine learning, natural language processing, and relevant tools like Python and TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers or machine learning executives, often involving advanced skills in deep learning, large language models, and extensive experience. These positions may include leadership responsibilities, require specialized certifications, and offer compensation packages that include salary, bonuses, and stock options. Such roles are usually found in top tech companies or AI-focused organizations and demand a strong track record of innovation and technical expertise.

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 in the Llm Developer position, and why are they important?

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 engineers make $500,000?

Senior machine learning engineers, including those developing large language models (LLMs), can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work at top tech companies. High compensation often includes base salary, bonuses, and stock options, particularly in competitive markets or leadership roles.

What are the typical daily tasks and responsibilities of an LLM Developer?

As an LLM Developer, your daily responsibilities often include designing, fine-tuning, and evaluating large language models to meet specific application needs. You may work on tasks such as data preprocessing, model training, performance benchmarking, and error analysis, frequently collaborating with data scientists, research engineers, and product managers. Keeping up to date with the latest advancements in NLP and integrating new techniques into production models is also a key part of the role. These tasks are usually performed in a team-oriented environment where clear communication and iterative experimentation are highly valued.

What are LLM developers?

LLM developers are software engineers who design, build, and optimize large language models used in artificial intelligence applications. They typically work with machine learning frameworks, programming languages like Python, and tools such as TensorFlow or PyTorch to develop models for tasks like natural language processing and understanding.
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Llm Developer jobs near you
SOFTWARE DEVELOPER/ENGINEER (CYBER)

SOFTWARE DEVELOPER/ENGINEER (CYBER)

Quantum Research International Inc

Huntsville, AL • On-site

Full-time

Re-posted 29 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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