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Llm Developer Jobs in Georgia (NOW HIRING)

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM ...

Elevance Health

Gen AI Engineer

Atlanta, GA · On-site

LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model ... engineers for the deployment of machine learning models into production environments, ensuring ...

Elevance Health

Gen AI Engineer

Atlanta, GA · Hybrid

LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model ... engineers for the deployment of machine learning models into production environments, ensuring ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast ... CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM ...

Elevance Health

Gen AI Engineer

Atlanta, GA · Hybrid

LLM development and fine-tuning strategies, best practices, and standards to enhance AI ML model ... engineers for the deployment of machine learning models into production environments, ensuring ...

Worth AI

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow ... Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.

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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 Georgia is $42.36, according to ZipRecruiter salary data. Most workers in this role earn between $33.27 and $51.35 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.
What are the most commonly searched types of Llm Developer jobs in Georgia? The most popular types of Llm Developer jobs in Georgia are:
What are popular job titles related to Llm Developer jobs in Georgia? For Llm Developer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Llm Developer jobs in Georgia look for? The top searched job categories for Llm Developer jobs in Georgia are:
What cities in Georgia are hiring for Llm Developer jobs? Cities in Georgia with the most Llm Developer job openings:
Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Georgia as of July 2026, with employment types broken down into 83% Full Time, 6% Part Time, 1% Temporary, and 10% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $88,106 per year, or $42.4 per hour.
Sr. Full Stack Developer

Sr. Full Stack Developer

MountainSeed Appraisal Management LLC

Atlanta, GA • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

HOW YOU’LL MAKE A DIFFERENCE:

We are seeking a Senior Full-Stack Developer to help design and build our AI-powered application and deliver scalable, high-performance applications across the full technology stack. Unlike large enterprises, we move fast and embrace agility — valuing rapid prototyping, iteration, and learning over lengthy requirement cycles.

The ideal candidate is a hands-on developer who thrives in an Agile environment, actively uses AI coding agents (e.g., Claude Code, GitHub Copilot, Cursor) to build faster and better, and is excited to apply AI/LLM concepts directly to our product roadmap.

IN THIS ROLE, YOU’LL GET TO:

  • Build, test, and iterate quickly on prototypes and production-ready applications.
  • Lead full-stack development across front-end, back-end, and infrastructure.
  • Leverage AI coding agents (e.g., Claude Code, GitHub Copilot, Cursor) as a core part of your daily workflow to accelerate development, automate repetitive tasks, and raise code quality.
  • Design, build, and evolve AI-powered features for our application, integrating LLMs, agents, and related AI infrastructure into the core product.
  • Develop APIs, services, and cloud-native solutions on AWS.
  • Collaborate closely with architecture, product management, and DevOps to shape requirements and deliver impactful solutions.
  • Work alongside our DevOps team to ensure smooth deployments, scalability, and operational excellence.
  • Take pride of ownership in what you build — we invest in strong CI/CD and automated testing, with feature flags so releases aren’t handicapped by business readiness, letting the team work smart, not just hard. This reflects our values in action: taking responsibility from design through production support, and pitching in when the team needs it.
  • Contribute to a culture of experimentation, agility, and continuous improvement.
  • Write and maintain automated tests (unit, integration, and end-to-end) and champion a strong quality assurance culture across the codebase.
  • Mentor junior developers and provide technical guidance.

THIS OPPORTUNITY IS FOR YOU IF YOU HAVE/ARE:

  • 7+ years of professional experience as a full-stack developer.
  • Agile mindset with a strong focus on prototyping, iteration, and speed-to-value.
  • Front End: Angular or React, strong proficiency in JavaScript/TypeScript.
  • Back End: Strong, hands-on proficiency in Python required; also .NET, PostgreSQL, MongoDB, RDS.
  • Infrastructure: Deep, hands-on production experience with AWS (EC2, EKS/Kubernetes, Lambda, RDS, S3, IAM, Cognito, CloudWatch, Bedrock, etc.) required — including the ability to independently diagnose and resolve common operational issues (e.g., pod/container failures, scaling, deployment errors) rather than relying on DevOps for routine troubleshooting.
  • Quality & Testing: Strong track record writing automated tests (unit, integration, end-to-end), test-driven development, and building test coverage into CI/CD pipelines.
  • AI-Assisted Development: Demonstrated, hands-on experience using AI coding agents/assistants (e.g., Claude Code, GitHub Copilot, Cursor) to write, review, and ship code faster.
  • Building AI-Powered Products: Experience building AI/LLM-powered application features (e.g., agents, RAG, embeddings), ideally leveraging AWS Bedrock — you’ll help build and evolve our product’s AI capabilities directly.
  • Solid understanding of software architecture, scalability, and performance.
  • AI Tooling: Hands-on, shipped experience with LLM orchestration frameworks, evaluation/monitoring tooling, and vector databases for embeddings and retrieval required — this should be production experience, not just interest.
  • Experience collaborating with DevOps teams and familiarity with CI/CD practices.
  • Culture Fit: Technical depth paired with humility — someone who asks first how they can add value, is brutally honest about what’s working and what isn’t, and cares more about the team’s success than personal credit. We have zero tolerance for ego.

Nice to Have

  • GIS (Geographic Information Systems)knowledge or experience with geospatial data integration.
  • Previous leadership or mentoring experience.

WHAT WE OFFER: 3 weeks of PTO, 13 company paid holidays, paid parental leave, and a flexible work environment. Medical, Dental, Vision, Life, Disability, and 401K plans begin the first of the month after 30 days of employment.

OUR PURPOSE is to provide opportunities that help people thrive using their God-given abilities.

OUR CORE VALUES:

  • Be a Self-Starter. Continuously seek ways to improve yourself and the business, take responsibility, and act with urgency to solve problems.
  • Be a Team Player. Prioritize team success over individual achievements, support your colleagues, and contribute to creating high-performing teams.
  • Be a Patriot. Focus on the greater good of the organization, be honest about what’s working, and passionately work towards making the company better.
  • Do it Right. Uphold high standards and integrity, even when no one is watching, and always aim to do the right thing.
  • Be Humble. Lead by serving others, value diverse perspectives, and remain open to new ideas and feedback.

WHAT WE DO:

As the largest commercial real estate services marketplace in the nation, MountainSeed MarketPlace offers a comprehensive range of appraisal management, review services, and more. MountainSeed Analytics platform provides real-time, accurate real estate data insights, helping clients make informed decisions in markets across the U.S. MountainSeed’s Capital Markets Solutions including Loan Sale Advisory and Sale Leaseback Programs assist in enhancing an institution’s financial health.

MountainSeed is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law.