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Llm Developer Jobs in Decatur, GA (NOW HIRING)

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100.50K - $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

$100.50K - $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

$100.50K - $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 ...

Deloitte

AI Engineer Senior Consultant

Atlanta, GA · Hybrid

$100.50K - $138K/yr

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Comprehensive Resources Inc.

UI Developer

Alpharetta, GA · On-site

$48.75 - $63.50/hr

Role : UI Developer with Chatbot Experience Location: Alpharetta Hybrid (3 days onsite) Must be ... AI & Backend Integration - Integrate the chat UI with backend services that orchestrate AI/LLM ...

United Airlines

Gen AI Java Developer

Atlanta, GA

$61.09K - $104.36K/yr

Integrate LLM services (Azure OpenAI, OpenAI, Anthropic, etc.) into Java-based microservices using secure, scalable patterns LLM Orchestration & Workflow Engineering * Build and orchestrate multi ...

Deloitte

AI Engineer Senior Consultant

Atlanta, GA · On-site

$100.50K - $138K/yr

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Deloitte

AI Data Engineer - Senior Consultant

Atlanta, GA · On-site

$100.50K - $138K/yr

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Deloitte

AI Data Engineer - Senior Consultant

Atlanta, GA · Hybrid

$100.50K - $138K/yr

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Euna Solutions

Staff AI Developer

Atlanta, GA

Implement AI-powered features including LLM orchestration, prompt workflows, and observability ... Collaborate with Engineering, Product, Customer Success, and Support teams to continuously improve ...

Euna Solutions

Staff AI Developer

Atlanta, GA · On-site

Implement AI-powered features including LLM orchestration, prompt workflows, and observability ... Collaborate with Engineering, Product, Customer Success, and Support teams to continuously improve ...

Sidram Technologies

Python engineer

Atlanta, GA · Remote

Understanding of LLM agent frameworks (LangChain, Semantic Kernel, LlamaIndex). * Experience with API integration , JSON schemas, and backend services. * Familiarity with Docker , basic DevOps, and ...

Deloitte

AI Engineer III

Atlanta, GA · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Deloitte

AI Engineer Senior Consultant

Atlanta, GA · On-site

$100.50K - $138K/yr

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

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How much do llm developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for llm developer in Decatur, GA is $48.98, according to ZipRecruiter salary data. Most workers in this role earn between $38.51 and $59.38 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 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 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 is the salary of LLM engineer?

The salary of an LLM (Large Language Model) engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and NLP can earn higher compensation, often exceeding $200,000 with bonuses and stock options.
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Llm Developer jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

FanDuel

Atlanta, GA • On-site

$100.50K - $138K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

FanDuel rating

8.6

Company rating: 8.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

2nd of 15 rated gambling companies

Job description

THE POSITIONOur roster has an opening with your name on it
At FanDuel, data is the heartbeat of our organization. As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and our customers with world-class personalized experiences. Every click our users make, every bet, every touchdown, every fumble, and every play is fair game for us to turn into a stream of knowledge. Your expertise will be used here to make better and faster decisions - outpacing our competition.
Collaboration is at the core of your role. You'll be the linchpin between engineering teams working downstream to build out our online application and upstream to land necessary data for feature engineering. You'll also be working with Data Scientists and Analysts to productionize, analyze, and validate AI powered insights. You will be asked to help organize, model, and present our data as a coherent product and offer it to our stakeholders, providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace.
We are looking for Senior Machine Learning Engineer who may be looking to make the move to a big data environment. If this describes you, read on - we want to hear from you!
THE GAME PLAN
Everyone on our team has a part to play
  • Designing and implementing intelligent search system incorporating typeahead search, vector search and ML personalization model signals to optimize relevance and user experience
  • Contributing to the design and development of scalable serving systems for ML and GenAI/LLM models
  • Developing platform features and capabilities (e.g. CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM Application development and deployment lifecycle
  • Business intelligence tools (e.g., Tableau, Knime, Looker)
  • Data security and privacy (e.g. GDPR, CPP)
  • Data governance and data testing frameworks
  • Continuous integration and delivery of production data products
  • An inclusive culture that expects excellence and priorities your growth as an engineer and your well-being as a person
  • Advance your career within well-defined, skill-based tracks, either as an individual contributor or as a manager - both providing equal opportunities for compensation and advancement
  • Collaborating with peers and sharing best practices in system reliability, automation, and data quality

ML engineering is a rapidly changing field - most of all, we're looking for someone who enjoys experimenting, keeping their finger on the pulse of current data engineering tools, and always thinking about how to do something better.
THE STATS
What we're looking for in our next teammate
  • 5-7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)
  • 1+ Years of Experience implementing vector search, semantic search, or embedding-based retrieval systems for production ML or AI applications
  • 1+ Years of Experience working with typeahead / autocomplete systems and integrating ML signals into query understanding or ranking workflows
  • 1+ Years of Experience combining outputs from multiple retrieval systems (e.g., vector search + typeahead + personalization models) to improve relevance
  • 1+ Years of experience in deploying ML and GenAI/LLM models under the constraints of scalability, correctness, and maintainability.
  • Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, MLFlow etc.) and familiarity with LLM-specific frameworks (e.g., LangChain, Hugging Face Transformers, etc).
  • Hands on experience with one or more ML and GenAI/LLM cloud services (Amazon SageMaker, Amazon Bedrock, Databricks Mosaic AI, Seldon, Arize, etc)
  • 4+ Years of experience designing and building various software architecture, with some emphasis on scalable architectures supporting both traditional ML and advanced LLM workflows.
  • Deep understanding and knowledge of data structures, distributed computing, and software engineering principles
  • 3+ Years of experience demonstrating technical leadership working with teams, owning projects, defining, and setting technical direction for projects.
  • Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis, Terraform, Airflow)
  • Ability to share findings in easy to consume formats, whether that is through dashboards or data modeling.
  • Conduct regular design process reviews and ensure development standards within the team.
  • Working with leadership to drive adoption of ML and GenAI/LLM solutions to product engineering teams.
  • Experience working in a cloud environment such as AWS, Google Cloud Platform, Azure.
  • Experience with Databricks is a plus, their unity catalog, another plus.
  • Designing and building data pipelines for production level ML and GenAI/LLM infrastructure.
  • Experience with vector databases to efficiently manage and retrieve embeddings for LLM applications, enabling high-performance similarity search and retrieval-augmented generation (RAG) workflows is a plus
  • Motivate junior engineers on best practices and latest industry design patterns.

ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, "We are One Team!". As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
The applicable salary range for this position is $138,000 - $181,650 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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