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

AI / LLM Engineering & Agentic Systems * Design, build, and deploy LLM powered applications using ... Apply prompt engineering, fine tuning strategies, and model orchestration techniques to improve ...

* 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 ...

Senior AI Engineer

Atlanta, GA · On-site

$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 ...

Senior AI/ML Engineer

Atlanta, GA

$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 ...

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 ...

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

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

Software Engineer AI/ML

Atlanta, GA

$110K - $132K/yr

... LLM-powered applications; strong understanding of prompt engineering, retrieval-augmented ... generation, and vector databases * Strong foundation in supervised/unsupervised learning, time ...

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

Senior AI Engineer

Atlanta, GA · On-site

$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 ...

Senior AI/ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Define best practices for prompt engineering, evaluation, and LLM observability - ensuring AI outputs meet the trust standards CDP demands. * Design and optimize vector search architectures (Pinecone ...

AI Engineer Senior Consultant

Atlanta, GA · Hybrid

$100K - $138K/yr

AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

AI Engineer Senior Consultant

Atlanta, GA · On-site

$100K - $138K/yr

AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

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Llm Prompt Engineer information

See Decatur, GA salary details

$36

$56

$83

How much do llm prompt engineer jobs pay per hour?

As of Jun 20, 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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles involving leadership, technical expertise, or working at major tech companies often have compensation packages reaching or exceeding this level.

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 access, customization options, and the specific application requirements. Familiarity with prompt design and model tuning is essential 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 prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, often exceeding $180,000. Compensation may also include bonuses and stock options in tech-focused organizations.

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 like GPT, making it a valuable position in AI development teams.

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:
AI LLM Engineer

AI LLM Engineer

Siemens Healthineers

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Siemens Healthineers rating

8.5

Company rating: 8.5 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 418 rated machine equipment manufacturers


Job description

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.

Varian Medical Systems, a Siemens Healthineers company is hiring for an AI LLM Engineer. This role is ideal for experienced engineers specializing in Applied AI, Large Language Models (LLMs), and intelligent automation, with a strong foundation in data platforms such as Snowflake and modern analytics ecosystems like Power BI/Fabric. The position focuses on designing, building, and operationalizing AI driven solutions, including RAG pipelines, enterprise copilots, and agent based automation frameworks, to transform how the Analytics & Reporting team delivers insights and interacts with data. You will partner with business stakeholders, data engineers, and platform teams to build production grade AI systems that enable natural language interaction, automate complex workflows, and enhance self service analytics at scale. This role is well suited for someone evolving from data engineering, ML engineering, or analytics engineering into AI platform ownership, agentic system design, or enterprise GenAI leadership.
**This role is designed to be onsite in Atlanta, Georgia with some remote/hybrid flexibility*

What You will do:

AI / LLM Engineering & Agentic Systems

  • Design, build, and deploy LLM powered applications using architectures such as Retrieval Augmented Generation (RAG), tool augmented agents, and multi agent workflows
  • Develop AI copilots and natural language interfaces over enterprise data platforms (Snowflake, Power BI datasets, Fabric/OneLake)
  • Build and orchestrate AI agents using frameworks such as:
    • LangChain / LangGraph
    • Semantic Kernel
    • Microsoft Copilot Studio
    • Azure AI Foundry
  • Implement context management strategies (embeddings, vector stores, retrieval optimization, chunking, ranking)
  • Design tool integrations enabling agents to query data, trigger workflows, and interact with enterprise systems
  • Develop evaluation frameworks for prompt performance, answer quality, hallucination mitigation, and reliability
  • Collaborate with platform and governance teams to ensure responsible AI practices, security, and compliance

Applied Machine Learning & Intelligent Automation

  • Build and deploy ML models for forecasting, anomaly detection, and predictive analytics
  • Integrate traditional ML with LLM based systems to enable hybrid intelligence workflows
  • Develop Python based pipelines for model training, evaluation, and deployment
  • Apply prompt engineering, fine tuning strategies, and model orchestration techniques to improve system performance

Data Platform Integration (Snowflake, Fabric, Power BI)

  • Enable AI systems to interact with structured data using optimized SQL queries and semantic models
  • Design AI ready data layers (feature stores, curated datasets, vector indexes) on Snowflake
  • Collaborate with data teams to ensure high quality, well modeled data pipelines that support AI use cases
  • Integrate with Power BI/Fabric to deliver solutions with NL querying and automated insights

Automation & Workflow Orchestration

  • Build intelligent automation using Python, APIs, and orchestration tools
  • Develop agent driven workflows for:
    • Automated reporting
    • Data quality monitoring
    • Stakeholder Q&A and decision support
  • Integrate AI systems with enterprise tools (ServiceNow, Salesforce, etc.) for end to end automation

Collaboration & Communication

  • Work across business, analytics, and engineering teams to identify high impact AI use cases
  • Translate technical AI solutions into clear business outcomes and value propositions
  • Present architecture decisions, tradeoffs, and governance considerations to stakeholders
  • Contribute to best practices, reusable components, and internal AI knowledge sharing

What You will have:

  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related quantitative field
  • 4+ years of experience in AI/ML engineering, data engineering, or advanced analytics roles
  • Proven experience building and deploying at least one GenAI/LLM based solution in production or near production
  • Strong understanding of LLM architectures, RAG, embeddings, vector databases, and prompt engineering
  • Experience designing scalable, production grade systems in enterprise environments
  • Strong problem solving and communication skills with the ability to connect AI solutions to business outcomes

Technical Skills

  • Python (required) with experience in LLM frameworks and ML libraries
  • Deep understanding of RAG pipelines, Prompt Engineering and evaluation, Agent based architectures
  • Experience with Azure Open AI/Azure AI Foundry, Databricks or similar platforms
  • Strong SQL (Snowflake preferred) with query optimization experience
  • Experience integrating AI with structured data systems
  • Familiarity with data modeling, ELT pipelines, and data warehousing concepts
  • Understanding of model deployment, monitoring, and evaluation in production

What will set you apart:

  • Experience building enterprise copilots or conversational AI systems
  • Familiarity with Microsoft Fabric, OneLake, and Direct Lake architectures
  • Experience with Power Automate, Power Apps, or low code integrations
  • Knowledge of multi agent orchestration and workflow design patterns
  • Experience in regulated industries (e.g., healthcare, medical devices) with AI governance considerations

#LS-OS1

Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.

How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual's potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world's most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

To find out more about Siemens Healthineers businesses, please visit our company page here.

The base pay range for this position is:

$93,680 - $128,810

Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan. life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time.

Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law: Applicants and employees are protected under Federal law from discrimination. To learn more, click here.

Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations.

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form here. If you're unable to complete the form, you can reach out to our HR People Connect People Contact Center for support at peopleconnectvendorsnam.func@siemens-healthineers.com. Please note HR People Connect People Contact Center will not have visibility of your application or interview status.

California Privacy Notice: California residents have the right to receive additional notices about their personal information. To learn more, click here.

Export Control: "A successful candidate must be able to work with controlled technology in accordance with US export control law." "It is Siemens Healthineers' policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations."

Data Privacy: We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started.

Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site.

To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.


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