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Llm Prompt Engineer Jobs in Decatur, GA (NOW HIRING)

CYNET SYSTEMS

Data Engineer

Alpharetta, GA

$55/hr

* 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 ...

State Farm

Lead GenAI Engineer (LLM)

Dunwoody, GA · Hybrid

$101K - $133K/yr

Champion Responsible AI -- Apply prompt engineering best practices, implement guardrails, evaluate ... Hands-on experience building LLM-powered applications, RAG pipelines, or agentic systems * Strong ...

Global Payments, Inc.

AI Engineer

Alpharetta, GA · On-site

Experience with prompt engineering, RLHF, and LLM evaluation techniques. * Understanding of AI governance, safety, and responsible AI principles. * Familiarity with reinforcement learning, multi ...

Global Payments

AI Engineer

Alpharetta, GA · On-site

Experience with prompt engineering, RLHF, and LLM evaluation techniques. * Understanding of AI governance, safety, and responsible AI principles. * Familiarity with reinforcement learning, multi ...

Florence Healthcare - US

Senior AI Engineer

Atlanta, GA

$100K - $138K/yr

Strong understanding of LLM capabilities and limitations * Experience with prompt engineering and structured output design * Hands-on experience with embeddings and vector search * Familiarity with ...

Finastra

Senior AI Engineer

Atlanta, GA · On-site +1

$100K - $138K/yr

Apply prompt engineering and context engineering techniques to optimize LLM performance * Implement function calling and tool use patterns for agentic workflows * Build and maintain AI workflows and ...

Insight Global

AI Engineer

Atlanta, GA · On-site +1

... prompt injection and adversarial tests as part of ongoing eval work. Qualifications Required qualifications • 3+ years of software engineering experience, with at least 1 year building LLM-powered ...

Sumeru

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 ... Experience with LLM APIs (OpenAI, Anthropic) and prompt pipelines * Strong SQL skills and ...

BlueAlly

Senior AI Engineer

Atlanta, GA

$100K - $138K/yr

Build and tune prompt-engineering patterns at production scale -- system prompts, structured output, tool and function calling. * Design and maintain LLM evaluation harnesses -- golden sets ...

Momentive Software

AI Quality Engineer

Atlanta, GA · On-site

Responsibilities : • Design and implement evaluation frameworks (evals) to assess LLM and agentic ... Preferred : • Experience with prompt engineering and systematic prompt evaluation methodologies ...

Bigcommerce

Senior Backend Engineer (AI Agent)

Atlanta, GA · On-site +1

$116K - $195K/yr

Experience with LLM evaluation: building datasets, defining scorers/metrics, and using eval results to drive iteration * Strong understanding of prompt engineering, tool/function calling, and agent ...

TekCommands Inc

FSE Sr.AI Engineer

Atlanta, GA · On-site

$117K - $155K/yr

... LLM APIs (OpenAI, Anthropic, or similar), and prompt engineering techniques. • Strong understanding of software engineering fundamentals -- data structures, system design, testing, and CI/CD ...

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Llm Prompt Engineer information

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How much do llm prompt engineer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for llm prompt engineer in Decatur, GA is $56.84, according to ZipRecruiter salary data. Most workers in this role earn between $44.38 and $69.47 per hour, depending on experience, location, and employer.

What are some common challenges faced by LLM Prompt Engineers when designing effective prompts for large language models?

LLM Prompt Engineers often encounter challenges such as ensuring prompts are both clear and unambiguous to elicit accurate model responses, as well as avoiding bias or unintended outputs. Balancing creativity and specificity in prompt design can be tricky, especially when tailoring prompts for diverse user intents or specialized domains. Additionally, prompt engineers must frequently iterate and test their prompts, collaborating closely with data scientists and product teams to continually refine them based on observed model behavior and user feedback.

Which LLM is good for prompt engineering?

For a prompt engineer, large language models like OpenAI's GPT-4, Anthropic's Claude, and Google's PaLM are popular choices due to their advanced capabilities and flexibility. Selecting an LLM depends on factors such as API accessibility, customization options, and the specific application requirements. Familiarity with prompt design and understanding model limitations are essential skills for effective prompt engineering.

What is an LLM Prompt Engineer?

An LLM Prompt Engineer is a professional who specializes in designing, testing, and optimizing prompts for large language models (LLMs) such as GPT-4. Their role involves crafting effective instructions and queries to guide the model's output for specific applications, ensuring accuracy, relevance, and reliability. They may also analyze model behavior, implement prompt-based workflows, and collaborate with developers to integrate LLMs into products or services. The goal is to maximize the performance and efficiency of language models in various real-world contexts.

How much do LLM engineers make?

LLM (Large Language Model) engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and NLP can command higher salaries, often exceeding $200,000. Compensation may also include bonuses and stock options in tech companies.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek to optimize AI language models for various applications. The role requires skills in natural language processing, prompt design, and familiarity with large language models, making it a valuable position in AI development teams.

What engineer makes $500,000 a year?

Senior AI engineers, including those working as prompt engineers or machine learning engineers, can earn $500,000 or more annually, especially with extensive experience, specialized skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at leading tech companies or startups focused on artificial intelligence and large language models.

What are the key skills and qualifications needed to thrive as an LLM Prompt Engineer, and why are they important?

To thrive as an LLM Prompt Engineer, you need a deep understanding of natural language processing, prompt engineering strategies, and proficiency in programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), large language model APIs, and version control systems is typically required. Strong analytical thinking, creativity, and effective communication are crucial soft skills for crafting precise prompts and collaborating with cross-functional teams. These skills ensure the development of effective, ethical, and high-performing AI-powered solutions that meet diverse user needs.

What is the difference between Llm Prompt Engineer vs Data Scientist?

AspectLlm Prompt EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; familiarity with NLP and AI toolsBachelor's or higher in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentAI labs, tech companies, startups focusing on NLP and AI modelsData analysis, modeling, and visualization in various industries like finance, healthcare, tech
Employer & Industry UsagePrimarily in AI development, NLP projects, and machine learning teamsAcross industries for data analysis, predictive modeling, and decision support

While both roles involve working with data and AI, Llm Prompt Engineers focus on designing prompts for language models, whereas Data Scientists analyze data to derive insights. The roles share similar educational backgrounds and work environments but differ in their core tasks and industry applications.

What job categories do people searching Llm Prompt Engineer jobs in Decatur, GA look for? The top searched job categories for Llm Prompt Engineer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Llm Prompt Engineer jobs? Cities near Decatur, GA with the most Llm Prompt Engineer job openings:
Llm Prompt Engineer jobs near you

LLM Engineer (GCP Preferred)

Krest Global Solutions

Atlanta, GA • Hybrid

$58 - $60/hr

Contractor

Posted 2 hours ago

Job description

Job Title: LLM Engineer (GCP Preferred)

Work Time Zone: EST

Rate: $60/hour on 1099/C2C

Location: Atlanta, GA (Hybrid – 3 days on-site)

We are seeking a highly skilled and motivated LLM Engineer to design, build, and deploy advanced large language model (LLM) solutions that enhance procurement workflows and drive business automation. The ideal candidate will have a strong background in natural language processing, deep learning, and AI agent design, with hands-on experience fine-tuning foundation models and deploying them on Google Cloud Platform (GCP).

Key Responsibilities:

  • AI Agent Development
    Design and implement LLM-powered AI agents that optimize and automate procurement-related tasks, ensuring reliability, explainability, and business alignment.
  • Model Fine-Tuning & Optimization
    Fine-tune foundation models for domain-specific tasks, focusing on accuracy, latency, and scalability. Apply techniques such as parameter-efficient fine-tuning, prompt tuning, and adapter training.
  • Pipeline Engineering
    Build and maintain robust, production-grade pipelines for data ingestion, model training, evaluation, and inference using GCP services and open-source tools.
  • Prompt Engineering & RAG Implementation
    Leverage prompt engineering and Retrieval-Augmented Generation (RAG) to improve contextual accuracy and relevance of model outputs.
  • Stakeholder Collaboration
    Work closely with procurement experts, data engineers, and business leaders to gather requirements, align goals, and deliver impactful AI solutions.
  • Model Evaluation & Monitoring
    Establish evaluation metrics and monitoring tools to track model performance, accuracy, bias, and drift in real-world applications.
  • Integration & Deployment
    Collaborate with cross-functional teams to integrate LLMs into existing systems, leveraging LangChain, LangGraph, and GCP AI tools like Vertex AI for seamless deployment.

Must-Have Qualifications:

  • Master’s degree in mathematics, Physics, Computer Science,
  • 7 – 10 + years of experience in NLP, LLM development, or AI-driven automation.
  • Expertise in Python and deep learning frameworks such as PyTorch and TensorFlow.
  • Proficiency with LangChain, LangGraph, Hugging Face Transformers, and LLM model hubs.
  • Experience fine-tuning large-scale models and optimizing for real-time inference.
  • Solid understanding of vector databases, knowledge graphs, and embedding techniques.
  • Strong communication skills with the ability to translate complex AI concepts to non-technical stakeholders.
  • Proven experience working with Google Cloud Platform (GCP), especially with services like Vertex AI, BigQuery, and Cloud Functions.
  • Familiarity with multi-agent systems and reinforcement learning is a strong plus.