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Llm Developer Jobs in Decatur, GA (NOW HIRING)

Senior Agentic (AI) Engineer

Atlanta, GA · On-site +1

$100.50K - $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.

Senior Agentic (AI) Engineer

Atlanta, GA · Remote

$107K - $146.90K/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.

Develop and optimize LLM-powered features, including prompt engineering, Retrieval-Augmented Generation (RAG) pipelines, and tool-calling agents integrated into workflows * Build and maintain ML ...

Develop and optimize LLM-powered features, including prompt engineering, Retrieval-Augmented Generation (RAG) pipelines, and tool-calling agents integrated into workflows * Build and maintain ML ...

GEN AI Developer@ Alpharetta, GA

Alpharetta, GA · On-site

$49 - $67.50/hr

Major Skills - Hands on Python Development, GEN AI Tools, Experience with LangChain and LLM, MCP (Model Context Protocol). We are seeking two GenAI Developers to join our AI Tools team, focused on ...

Build and operationalize LLM-enabled products (copilots, HR knowledge assistant, summarization ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Senior AI Engineer

Atlanta, GA · On-site

$100.50K - $138K/yr

Develop robust evaluation frameworks for both ML models and LLM-based systems * Design and ... Establish engineering standards across testing, CI/CD, deployment, and monitoring Cross-Functional ...

Build and operationalize LLM-enabled products (copilots, HR knowledge assistant, summarization ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Senior Machine Learning Engineer (Nova)

Atlanta, GA · On-site

$117.80K - $155.30K/yr

Experience building ML or LLM platforms, tooling, or developer-facing frameworks. * Prior work with embeddings, search-ranking systems, or advanced RAG architectures. * Familiarity with event-driven ...

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Llm Developer information

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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 Integration Engineer (Remote)

LLM Integration Engineer (Remote)

Outlier AI

Atlanta, GA • Remote

Full-time

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


Job description

About the Project

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw?

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.

Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.

Ideal Qualifications

  • 2+ years of experience in backend engineering, AI automation, or complex systems integration.
  • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
  • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
  • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
  • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.

Nice to have

  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
  • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
  • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.