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Llm Developer Jobs in Atlanta, GA (NOW HIRING)

Aperia

AI Engineer (LLMs + C#)

Alpharetta, GA · On-site

We are seeking an experienced AI/LLM Software Engineer to join our growing development team and help design, build, and integrate intelligent solutions into modern enterprise applications. The ideal ...

Lorven Technologies

Go & Python Developer

Atlanta, GA · On-site

$48.25 - $66.50/hr

Go & Python Developer Location: Atlanta, GA Required Skills: * Core Language & Runtime: Go (primary ... GPU compute (NVIDIA CUDA/DCGM, vllm, llm-d, Intel Level-Zero/ driver stack and SR-IOV)

Digipulse Technologies, Inc

AI Engineer

Atlanta, GA · On-site

$69K - $89K/yr

Azure DevOps, Git, and Azure OpenAI * Arize AI or similar observability tools Responsibilities * Design and execute test plans for GenAI and LLM applications * Test prompts, agents, APIs ...

Euna Solutions

DevOps Developer

Atlanta, GA · On-site

Continuously sharpen your agentic ops practice, bringing new thinking to how LLM-assisted tooling applies to pipelines, runbooks, and observability What You Bring * 3 or more years in a DevOps, cloud ...

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 ...

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 ...

Five and Fly

Machine Learning Engineer

Atlanta, GA · On-site

Work hands-on with multiple LLM ecosystems: * OpenAI GPT models (GPT-4, GPT-4o, fine-tuned GPTs ... Seeking following AFSC/MOSs US Army: 17D - Cyber Capability Developer 17C - Cyber Operations ...

YO AI Labs

GPU Programmer - Remote

Atlanta, GA · Remote

$60 - $85/hr

Remote Job Overview We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU ...

Nexnovels LLC

AI/ML Engineer

Atlanta, GA · On-site

Develop Generative AI and LLM-based applications . * Work with large datasets and develop data ... Collaborate with Software Engineers, Data Engineers, and Product teams. * Deploy and monitor ML ...

FanDuel

Staff AI Security Engineer

Atlanta, GA · On-site

Drive AI/LLM and agentic security architecture across the platform as it's built out: the AI ... Mentor engineers on both sides and help grow AI security capability across the organization. THE ...

FanDuel

Staff AI Security Engineer

Atlanta, GA · On-site

Drive AI/LLM and agentic security architecture across the platform as it's built out: the AI ... Mentor engineers on both sides and help grow AI security capability across the organization. THE ...

Lorven Technologies

Senior AI Engineer

Alpharetta, GA · On-site

$119K - $157K/yr

Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask. * Develop REST APIs ... OpenTelemetry, Grafana, Prometheus. * CI/CD (Jenkins, GitHub Actions), DevOps/GitOps.

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Llm Developer information

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How much do llm developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for llm developer in Atlanta, GA is $48.24, according to ZipRecruiter salary data. Most workers in this role earn between $37.93 and $58.46 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 large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

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Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Atlanta, GA as of August 2026, with employment types broken down into 84% Full Time, 5% Part Time, and 11% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $100,343 per year, or $48.2 per hour.

AI Engineer (LLMs + C#)

Aperia

Alpharetta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description


Join Aperia Solutions, a leader in SaaS solutions for the Payments and Compliance industries. Aperia is a Texas-based fintech and managed consultancy firm that creates custom SaaS applications and other software-based solutions for the payments, banking, and processing industry. Founded in 1999, Aperia offers business intelligence, risk management, compliance, and customer intelligence platforms. With offices in Dallas, Washington DC, and Vietnam, Aperia is a fast-paced, global organization that strives to improve efficiency in compliance, risk, and customer service operations. Aperia's clients include banks, processors, payment facilitators, merchant service providers, independent sales organizations, and government entities. A career at Aperia promises a great challenge, culture, and opportunities to forge your own path.
We are seeking an experienced AI/LLM Software Engineer to join our growing development team and help design, build, and integrate intelligent solutions into modern enterprise applications.
The ideal candidate has hands-on experience working with Generative AI, Large Language Models (LLMs), AI-assisted software development, and AI-powered applications. You will work closely with software engineers, architects, business stakeholders, and product teams to identify opportunities where AI can improve productivity, automation, data intelligence, and customer experiences.
This is a hands-on engineering role. Candidates should have a solid foundation in software development and APIs, with some practical experience in C#/.NET. Deep expertise in .NET, React, or Angular is not required. We are more interested in candidates who understand modern AI/LLM technologies and can apply them effectively within enterprise software environments.
Key Responsibilities:
  • Design, develop, and integrate AI/LLM-powered capabilities into enterprise applications.
  • Evaluate and integrate LLM platforms, models, APIs, and AI services such as Azure OpenAI, OpenAI, or similar technologies.
  • Develop solutions using techniques such as:
  • Prompt engineering
  • Retrieval-Augmented Generation (RAG)
  • Embeddings and semantic search
  • Vector databases
  • Function/tool calling
  • Structured outputs
  • AI agents and agentic workflows
  • Context management

  • Build and consume RESTful APIs to integrate AI capabilities with existing enterprise applications.
  • Develop proof-of-concepts and production-ready AI solutions while evaluating model quality, accuracy, performance, cost, and scalability.
  • Leverage GitHub Copilot and other AI coding assistants to improve software development productivity while maintaining code quality and security.
  • Develop appropriate approaches for AI evaluation, testing, monitoring, and validation, including identifying hallucinations and unreliable model responses.
  • Work with business stakeholders to identify practical use cases for AI and translate business requirements into technical solutions.
  • Integrate AI solutions with enterprise data sources, databases, APIs, and existing applications.
  • Participate in architecture and technical design discussions related to AI-enabled applications.
  • Ensure AI solutions follow enterprise security, privacy, compliance, and DevSecOps practices.
  • Research emerging AI/LLM technologies and recommend approaches that can provide business value.
  • Troubleshoot complex technical issues involving applications, APIs, AI services, data, and infrastructure.
  • Mentor team members and share knowledge related to AI/LLM technologies and best practices.

Required Skills and Experience
AI / LLM - Primary Focus
  • 2+ years of software engineering experience with hands-on exposure to Generative AI and/or LLM technologies.
  • Practical experience integrating LLMs or AI services into applications.
  • Understanding of LLM concepts such as:
  • Prompt engineering
  • Tokens and context windows
  • Embeddings
  • Vector search
  • RAG
  • Fine-tuning concepts
  • Function/tool calling
  • AI agents
  • Model evaluation
  • Experience working with one or more LLM/AI platforms such as Azure OpenAI, OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, or similar.
  • Experience developing AI-powered applications or prototypes using APIs, SDKs, or AI frameworks.
  • Experience using GitHub Copilot, ChatGPT, Claude, or other AI-assisted development tools.
  • Ability to understand, review, debug, and improve AI-generated code rather than simply relying on AI-generated output.
  • Understanding responsible AI, including security, privacy, hallucination risks, data protection, and appropriate handling of sensitive information.

Software Engineering
  • 4+ years of professional software development experience.
  • Some hands-on experience with C#/.NET or .NET Core/.NET 6+. Deep .NET expertise is not required.
  • Strong understanding of software engineering fundamentals, including:
  • Object-Oriented Programming
  • SOLID principles
  • Design patterns
  • Algorithms and data structures
  • Clean and maintainable code
  • Experience developing and consuming RESTful APIs.
  • Experience working with relational databases such as SQL Server, PostgreSQL, or similar.
  • Experience with Git and modern source-control workflows.
  • Understanding of CI/CD and modern software development practices.
  • Strong debugging, troubleshooting, and problem-solving skills.
  • Experience working in Agile/Scrum environments.

Cloud / DevOps / Security
  • Experience working with cloud-based applications, preferably Azure, AWS, or Google Cloud.
  • Understanding cloud-native application architecture and microservices.
  • Familiarity with Docker and/or Kubernetes is a plus.
  • Experience with CI/CD tools such as Azure DevOps, GitHub Actions, Jenkins, or Harness.
  • Understanding of secure software development and DevSecOps practices.
  • Familiarity with SAST/security tools such as Fortify or similar technologies is a plus.
  • Experience with application monitoring and observability tools such as Splunk or Dynatrace is a plus.

Preferred Experience
  • Experience building enterprise AI/LLM applications.
  • Experience implementing RAG solutions using enterprise documents or databases.
  • Experience with vector databases such as Pinecone, Azure AI Search, Weaviate, Milvus, pgvector, or similar.
  • Experience with AI/LLM frameworks such as LangChain, Semantic Kernel, LlamaIndex, or similar.
  • Experience with AI agents and tool/function calling.
  • Experience developing AI evaluation and testing strategies.
  • Experience integrating LLMs with enterprise APIs and business systems.
  • Familiarity with Azure AI services and Azure OpenAI.
  • Experience with financial services, banking, payments, or other high-volume transactional systems.
  • Experience with APIGEE or API management platforms.
  • Experience with MongoDB, Cassandra, or other NoSQL technologies.
  • Experience with React, Angular, TypeScript, or other modern frontend technologies is a plus, but not required.

Education or Certifications
  • Bachelor's degree in computer science, Information Systems, or another related field.

Eligibility Requirements
  • Must be willing to submit to a background investigation and drug test as part of the selection process.

Job Type
  • Full time

Schedule
  • Monday to Friday

Work Location
  • Alpharetta, GA
  • Omaha, NE
  • Frisco, TX

Benefits
  • Health insurance
  • Health savings account
  • Dental insurance
  • Vision insurance
  • 401(k) matching
  • Life insurance
  • Paid time off
  • Parental leave
  • Disability insurance
  • Childcare assistance
  • Education reimbursement
  • Fitness membership
  • Volunteer time off

This job description is not intended to be all-inclusive. An employee may also perform other reasonable related business duties as assigned by their immediate supervisor or management. Principals only.
Recruiters please don't contact this job poster. DO NOT contact us with unsolicited services or offers.

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