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Prompt Engineer Jobs in Georgia (NOW HIRING)

Apply techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and RLHF to enhance model performance. * Develop and deploy autonomous AI agents using frameworks like ...

Apply techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and RLHF to enhance model performance. * Develop and deploy autonomous AI agents using frameworks like ...

Java Developer - III

Alpharetta, GA · On-site

$50 - $55/hr

You should possess strong prompt engineering skills, enabling you to accelerate development velocity, optimize code quality, automate testing, and solve complex architectural challenges efficiently.

SRE/DevOps Engineer

Johns Creek, GA · On-site

$52.75 - $70.25/hr

Prompt engineering for software engineering workflows Preferred Skills: * Java development experience * Amazon EKS * Kubernetes * Containerization * Docker * Cloud-native application deployment

$80K - $90K/yr

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for developing applications. Requirements: - Bachelor's degree or Diploma in Computer Science, Engineering ...

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 +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 ...

Senior AI Engineer

Atlanta, GA · On-site

$140 - $200/hr

Knowledge of prompt engineering, context engineering, AI agent patterns (RAG, text-to-sql, etx)AI Frameworks: Hands-on experience with at least one framework: LangChain, LangGraph, CrewAI, or ...

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Prompt pipelines for specific use cases * Retrieval systems (embeddings, chunking, ranking) * RAG ... Support and mentor mid-level engineers where needed AI Reliability, Safety & Governance * Design ...

Strong hands-on experience with large language models (prompt engineering, fine-tuning, evaluation) * Experience building or working with agent frameworks, memory systems, or planning/reasoning ...

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

... prompt engineering and orchestration • Proven experience with RAG architectures, embeddings, and vector databases • Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen) • ...

Sr Analytics Engineer

Atlanta, GA · On-site

$160K - $216K/yr

Architect and integrate the semantic layer to serve as an AI-ready knowledge base, enabling applications such as advanced analytics, prompt engineering for large language models, and intelligent data ...

AI/ML Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Prompt Engineering * Vector Databases (Pinecone, FAISS, Chroma, etc.) * OpenAI / Anthropic / Hugging Face APIs Preferred Qualifications * Bachelor's or Master's degree in Computer Science, Data ...

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Prompt Engineer information

See Georgia salary details

$8

$39

$74

How much do prompt engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for prompt engineer in Georgia is $39.76, according to ZipRecruiter salary data. Most workers in this role earn between $30.24 and $51.35 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance.
What are the most commonly searched types of Prompt Engineer jobs in Georgia? The most popular types of Prompt Engineer jobs in Georgia are:
What cities in Georgia are hiring for Prompt Engineer jobs? Cities in Georgia with the most Prompt Engineer job openings:
Infographic showing various Prompt Engineer job openings in Georgia as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 97% In-person, and 3% Hybrid job distribution, with an average salary of $82,698 per year, or $39.8 per hour.

Director, Software Engineer

Morgan Stanley

Alpharetta, GA • On-site

Full-time

Re-posted 25 days ago


Morgan Stanley rating

8.4

Company rating: 8.4 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

30th of 150 rated financial services


Job description

Company Profile:
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services. The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.
In Technology, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
What you'll do in the role:
Morgan Stanley Services Group, Inc. is seeking a Director, Software Engineer in Alpharetta, Georgia to integrate Large Language Models (LLMs) into existing applications to enhance user experience. Design, implement, and optimize LLM-based solutions ensuring production-grade quality. Develop APIs and middleware to facilitate seamless communication between LLMs and existing systems. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to define requirements and deliver solutions. Monitor, analyze, and fine-tune LLM performance using metrics and user feedback. Implement security best practices and data privacy policies for LLM interactions. Stay updated with advancements in AI, NLP, and machine learning to continuously improve integration strategies. Integrate GenAI capabilities into enterprise applications, including designing end-to-end GenAI pipelines and autonomous or semi-autonomous agent workflows. Create structured prompts, templates, and reusable prompt-engineering frameworks for diverse business use cases. Design and implement GenAI agents capable of reasoning, planning, and executing actions across internal APIs, enterprise tools, and third-party services. Develop and maintain tool registries enabling GenAI agents to securely interact with enterprise systems and data sources. Implement metrics, observability, tracing, and structured logging for GenAI workloads. Build rapid Proofs of Concept (POCs) to validate GenAI ideas, measure ROI, and scale successful prototypes into production-ready systems. Participate in Agile ceremonies, including sprint planning, retrospectives, and continuous improvement initiatives. Conduct code reviews, design reviews, and prompt-optimization sessions to maintain engineering quality. Telecommuting permitted up to 2 days per week.
What you'll bring to the role:
-Requires a Bachelor's in Computer Engineering, Computer Science, or a related field of study.
-Requires five (5) years of experience in the position offered or as a Full Stack Developer, Software Engineer, AI Engineer, or a related role.
-Requires five (5) years of experience with the following skills:
  • Full stack development skills in Python, Java and JavaScript;
  • Working with different tools of Adobe Marketing cloud including Adobe Experience Manager, Target and Campaign;
  • RESTful API development and integration;
  • GraphQL API to serve dynamic request on data;
  • Backend development experience with Node.js and Nest.js;
  • Frontend development experience with Angular and React;
  • DevOps tools and practices for deployment and monitoring;
  • Implementing Continuous Integration and Continuous Deployment (CICD) pipelines using Jenkins, Bamboo, and Docker; and
  • Atlassian's toolset, including JIRA, Confluence, Box, BitBucket, Git repository, SVN, and SourceTree.

Requires two (2) years of experience with the following skills:
  • AWS Lambda;
  • AWS Gateway API;
  • AWS SDK and AWS CDK;
  • LLM APIs including OpenAI, Azure OpenAI, and Hugging Face;
  • Prompt engineering frameworks, GenAI agent frameworks including LangChain, LlamaIndex, and Semantic Kernel;
  • Performing model fine-tuning, embeddings, and secure tool registries;
  • Utilizing observability tools including TruLens, and W&B;
  • OAuth2;
  • SAML authentication;
  • API gateways;
  • Kubernetes Helm;
  • Terraform;
  • Prometheus;
  • Grafana, and enterprise;
  • AI safety and compliance practices.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $165,000 and $165,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.
For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

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