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Llm Developer Jobs in Decatur, GA (NOW HIRING)

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.

Senior Agentic (AI) Engineer

Atlanta, GA · Remote

$107K - $146K/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.

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 ...

Senior Machine Learning Engineer (Nova)

Atlanta, GA · On-site

$100K - $138K/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 ...

Senior AI Engineer

Atlanta, GA · On-site

$100K - $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 ...

Senior AI/ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Senior AI/ML Engineer Location: Bellevue/Seattle, WA ; Atlanta, GA, and Frisco, TX Need Local ... You will also contribute to LLM-based solutions that enable natural language querying of CDP data ...

* We are seeking a Senior Prompt Engineer AI Specialist Technical Analyst to support enterprise scale Generative AI and LLM based solutions including Service Assist AI and Agent Desktop aligned ...

Define and maintain secure integration patterns for third-party AI and LLM services, including API ... Work with engineering, product, and cloud platform teams to embed security-by-design into AI ...

... developer audiences • Surface field feedback and contribute reusable patterns, cookbooks, and ... based or LLM-powered applications beyond simple API calls, including multi-step workflows ...

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Llm Developer information

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How much do llm developer jobs pay per hour?

As of Jul 14, 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 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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AI-Assisted Developer / AI Product Engineer - Q126

AI-Assisted Developer / AI Product Engineer - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Posted 7 days ago


Job description

Overview:
Job Title: AI-Assisted Developer / AI Product Engineer
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: The days of writing every line of code from scratch are over. R2 Technologies is seeking an AI-Assisted Developer / AI Product Engineer who treats AI coding tools as their pair-programming partner. You will act as the bridge between product strategy and technical execution, utilizing advanced AI coding assistants (like Cursor, GitHub Copilot, and Claude Code) to achieve 10x productivity. Your primary focus will be rapidly prototyping, building, and scaling full-stack applications and integrating our proprietary SmartEnt platform with enterprise client systems. You will not just write code; you will architect prompts, orchestrate LLM workflows, and rigorously validate AI-generated outputs.
Key Responsibilities: * Rapidly prototype and develop end-to-end full-stack applications (using Java Spring Boot, .NET Core, React, or Angular) by heavily leveraging AI coding assistants.
  • Translate high-level business and product requirements into effective system architectures and advanced prompts for AI-driven code generation.
  • Rigorously review, debug, and refactor AI-generated code to ensure it meets strict enterprise standards for security, performance, and maintainability.
  • Integrate internal applications with leading LLM APIs (Anthropic, OpenAI, Gemini) and construct visual automation workflows using tools like n8n.
  • Implement AI security best practices, recognizing and mitigating risks such as AI hallucinations, insecure dependencies, and prompt injection vulnerabilities in generated code.
  • Collaborate closely with Agentic AI Engineers to build intuitive front-end user interfaces that interact seamlessly with complex, autonomous backend agents.

Qualifications: * Up to 3 years of software development experience in a full-stack environment.
  • Demonstrated power-user proficiency with modern AI coding assistants (e.g., Cursor, GitHub Copilot, Replit AI) and a strong grasp of developer-focused prompt engineering.
  • Solid foundation in modern programming languages (Java 17+, C# .NET 8+, Python) and front-end frameworks (React, Angular, TypeScript).
  • Experience integrating RESTful APIs, GraphQL, and cloud-native services (AWS, Azure, or GCP).
  • Critical thinking and debugging skills necessary to evaluate, secure, and optimize AI-generated architectures.

Entrepreneurial mindset with a bias for action, rapid iteration, and delivering functional product value over manual boilerplate coding.
Skills:
java,dotnet,react,angular