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Prompt Engineering Jobs in Savannah, GA (NOW HIRING)

Garney Construction

Project Engineer

Savannah, GA

$80K/yr

... engineering, construction management, or another related field and is willing to travel and work ... prompt response. Please note that email inquiries are not a substitute for submitting an ...

Garney Construction

Project Engineer

Savannah, GA · On-site

$80K/yr

... engineering, construction management, or another related field and is willing to travel and work ... prompt response. Please note that email inquiries are not a substitute for submitting an ...

Garney Construction

Project Engineer

Savannah, GA · On-site

$80K/yr

... engineering, construction management, or another related field and is willing to travel and work ... prompt response. Please note that email inquiries are not a substitute for submitting an ...

Highgate Hotels

Chief Engineer

Richmond Hill, GA · On-site

... the engineering department. * Ensure that room maintenance requests are handled in a prompt and courteous manner. * Follow up on all alarms immediately to determine the exact location and cause.

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Prompt Engineering information

See Savannah, GA salary details

$30.3K

$58.7K

$88.9K

How much do prompt engineering jobs pay per year?

As of Aug 24, 2026, the average yearly pay for prompt engineering in Savannah, GA is $58,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $67,100.00 per year, depending on experience, location, and employer.

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

Is prompt engineering still in demand?

Prompt engineering is currently in high demand as organizations seek experts to optimize interactions with AI language models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, making it a valuable specialization in AI development and deployment.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to optimize the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to improve accuracy and relevance in outputs.

What are the most commonly searched types of Prompt Engineering jobs in Savannah, GA?

The most popular types of Prompt Engineering jobs in Savannah, GA are:

What job categories do people searching Prompt Engineering jobs in Savannah, GA look for?

The top searched job categories for Prompt Engineering jobs in Savannah, GA are:

What cities near Savannah, GA are hiring for Prompt Engineering jobs?

Cities near Savannah, GA with the most Prompt Engineering job openings:

Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Savannah, GA as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $58,654 per year, or $28.2 per hour.

UPSD Lead AI Architect

United Parcel Service of America, Inc.

Savannah, GA • On-site

$51.50 - $70.50/hr

Full-time

Re-posted 20 days ago

UPS Supply Chain Solutions rating

6.8

Company rating: 6.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

35th of 64 rated delivery companies

Job description

Before you apply to a job, select your language preference from the options available at the top right of this page.
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
Job Description:
Position Summary:
We are seeking a Lead AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The ideal candidate will have expertise in LLM-powered applications, agentic AI, RAG architectures, traditional machine learning, and cloud-based AI platforms, while providing technical leadership across cross-functional teams.
Key Responsibilities:
  • Design, develop, and deploy production LLM applications utilizing prompt engineering, context engineering, RAG, and agent orchestration.
  • Architect and implement agentic workflows using LangChain, LlamaIndex, CrewAI, AutoGen, and Hugging Face Transformers.
  • Integrate LLMs with knowledge graphs and multi-agent systems to solve complex business problems.
  • Build scalable RESTful APIs, microservices, and vector database solutions (Pinecone, Weaviate, Milvus, FAISS).
  • Apply AI/ML techniques including deep learning, supervised and unsupervised learning, NLP, NER, text classification, and sentiment analysis.
  • Develop model evaluation frameworks to measure AI quality, safety, and performance.
  • Implement model adaptation techniques including prompt tuning, LoRA, and PEFT.
  • Leverage cloud platforms (Azure ML, Vertex AI) and container technologies (Docker, Kubernetes) to deploy and scale AI solutions.
  • Collaborate with business and technical stakeholders to align AI initiatives with organizational goals.
  • Document AI architectures, deployment patterns, and best practices.

Qualifications:
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent experience).
  • 3+ years of experience in AI/ML, including deep learning, NLP, supervised and unsupervised learning.
  • Proven experience building and deploying LLM-powered applications, RAG pipelines, agent architectures, and evaluation frameworks.
  • Hands-on experience with LangChain, LlamaIndex, CrewAI, AutoGen, and Hugging Face Transformers.
  • Strong Python programming skills with experience in Pandas, PySpark, TensorFlow, and XGBoost.
  • Experience developing production-grade RESTful APIs and microservices.
  • Experience with Azure ML, Vertex AI, and vector databases such as Pinecone, Weaviate, Milvus, or FAISS.
  • Knowledge of Docker, Kubernetes, and modern AI deployment practices.
  • Experience with prompt tuning, fine-tuning, LoRA, and PEFT methodologies.
  • Familiarity with knowledge graphs and multi-agent AI systems.
  • Excellent communication, presentation, and stakeholder management skills.

Employee Type:
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Other Criteria:
UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.
Basic Qualifications:
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.

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