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Llm Developer Jobs in Alabama (NOW HIRING)

Raas Infotek LLC

AI/ML Engineer

Georgiana, AL · On-site

Implement Large Language Model (LLM) solutions using Prompt Engineering, RAG (Retrieval-Augmented Generation), and AI agents. * Develop and maintain scalable data pipelines for machine learning ...

APEX TK LLC

AI Engineer

Huntsville, AL · On-site

$130K - $160K/yr

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

Bespoke Labs

Machine Learning Engineer

Mobile, AL · On-site

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

Bespoke Labs

Machine Learning Engineer

Birmingham, AL · On-site

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

Bespoke Labs

Machine Learning Engineer

Huntsville, AL · On-site

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

Bespoke Labs

Machine Learning Engineer

Montgomery, AL · On-site

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

Bespoke Labs

Machine Learning Engineer

Tuscaloosa, AL · On-site

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

Banner Defense, Inc.

AI Engineer

Huntsville, AL · On-site

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

Banner Defense, Inc.

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 ...

Banner Defense, Inc.

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 ...

Venturi

AI Engineer

Huntsville, AL · On-site

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

Chenega Corporation

AI Engineer

Huntsville, AL · On-site

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

Venturi

AI Engineer

Huntsville, AL · On-site

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

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How much do llm developer jobs pay per hour?

As of Jul 16, 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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What are popular job titles related to Llm Developer jobs in Alabama? For Llm Developer jobs in Alabama, the most frequently searched job titles are:
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Llm Developer jobs near you
ML Search Engineer

ML Search Engineer

Genuine Parts Company

Birmingham, AL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 1 hour ago

Genuine Parts Company rating

7.0

Company rating: 7.0 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

213th of 368 rated retail wholesalers

Job description

Search Engineer (Software Engineer III)
You must be eligible to work in the US without Visa Sponsorship.
ABOUT THE ROLE
We're building intelligent product search that understands intent, learns from behavior, and gets smarter over time. As a Senior Full Stack Engineer on the ML/AI Search team, you'll design and build both the frontend and backend systems that power product discovery for millions of industrial buyers-from scalable retrieval pipelines, APIs, and Frontend interfaces that make AI accessible.
This isn't a research role. You'll own the full lifecycle: prototyping ideas, shipping production-grade services on GCP, and iterating based on real user data. Strong Python and React engineering is the foundation-if you also bring experience in search systems, vector databases, or Elasticsearch, you'll hit the ground running from day one.
WHAT YOU'LL DO
Build & Ship Search and AI-Powered Systems
  • Design, develop, and deploy production Python services end-to-end-from retrieval and ranking pipelines through client-facing APIs.

  • Build and integrate ML inference pipelines: embedding models, transformer-based classifiers, LLM-powered query understanding, and reranking services.

  • Develop event-driven, real-time architectures using GCP services-Cloud Run, Pub/Sub, GKE, Cloud Functions.

  • Write clean, well-tested, observable Python backends; own your services through deployment, monitoring, and on-call

  • Drive frontend architecture decisions, establishing development standards, and creating reusable component libraries.

Contribute to Search Infrastructure
  • Work alongside the Search Architect and ML Architect to implement hybrid retrieval systems combining keyword search, dense vector similarity, and reranking.

  • Build and maintain Elasticsearch indexing pipelines, query services, and relevance tuning tooling.

  • Integrate vector databases (Pinecone, Weaviate, FAISS or similar) into retrieval workflows-even if this is new territory, you'll learn fast.

  • Instrument search pipelines with meaningful metrics: CTR, zero-result rate, latency-feeding the team's A/B experimentation loop.

  • Build clean, responsive, and production-ready interfaces from wireframes or Figma designs.

Own the Engineering Bar
  • Champion CI/CD, observability, testing, and infrastructure-as-code as non-negotiables, not afterthoughts.

  • Lead design sessions with Engineers and Architects; translate product requirements into clean, maintainable technical solutions.

  • Participate in code reviews and knowledge-sharing-actively raising the team's collective skill level.

WHAT YOU BRING
Must-Haves
  • Strong Python and React foundation: 6+ years of professional backend or full-stack engineering experience with a deep Python/React (e.g., Next.js, Vite.js, Remix.js, Gatsby.js) focus-async patterns, type annotations, testing, and production-grade service/component design.

  • Cloud-native experience: Proven experience designing and deploying cloud-native applications (

GCP strongly preferred; AWS or Azure considered).
  • Hands-on experience building resilient high throughput microservices and RESTful/gRPC APIs.

  • Solid understanding of containerization (Docker), orchestration (Kubernetes), and serverless paradigms.

  • Strong grounding in SOLID design principles and software craftsmanship.

  • Good communicator who thrives in cross-functional, agile teams alongside ML engineers, architects, and product owners.

  • Comfort using AI tools to accelerate development throughput.

  • Strong experience of using and managing Monorepos

  • Strong understanding of relational (e.g., PostgreSQL, MySQL, Oracle) and non-relational databases (e.g., MongoDB, DynamoDB).

  • Mentorship: Provide guidance and technical knowledge sharing to mid-level and junior developers.

Strongly Preferred - Search & ML
You don't need all of these on day one-but the more you bring, the faster you'll contribute:
  • Search systems: Experience with search platforms:

Elasticsearch, OpenSearch, Solr, or Algolia-index management, query DSL, relevance tuning.
  • Vector search: Familiarity with vector search concepts and tooling:

embeddings, approximate nearest neighbor (ANN), FAISS, Pinecone, Weaviate, or similar.
  • Exposure to ML/AI patterns: RAG pipelines, LLM integration, prompt engineering, or fine-tuning workflows.

  • Experience with AI orchestration frameworks such as LangChain, LangGraph, or Google ADK.

  • Infrastructure-as-code experience (Terraform, Pulumi, OpenTofu) and mature CI/CD pipeline ownership.

WHO YOU ARE
Fearless Builder
A working proof-of-concept beats a thousand slide decks. Speed and quality are both non-negotiable.
Relentless Learner
You pick up new technologies fast and have a genuine eagerness to master whatever comes next.
Architecture-Minded
You design scalable, fault-tolerant services as second nature and aren't afraid to challenge the status quo.
Ownership-Driven
Code isn't done until it's tested, documented, and monitored. Your name on a release means something.
Search-Curious
You may not have built a search system yet-but you're excited by the challenge and ready to go deep.
Team Multiplier
You give and welcome candid feedback and actively make the people around you better.
PHYSICAL DEMANDS:
LICENSES & CERTIFICATIONS: None required.
SUPERVISORY RESPONSIBILITY: No Supervisory Responsibility
BUDGET RESPONSIBILITY: No
COMPANY INFORMATION: Motion Industries offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition reimbursement, vacation, sick, and holiday pay.
DISCLAIMER: This job description illustrates the general nature and level of work performed by employees within this job classification. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and skills required. Management retains the right to add or modify duties at any time.
Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest!
GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

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