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Manager Prompt Engineering Jobs in Georgia (NOW HIRING)

Cherry Bekaert

AI Prompt and Skills Engineer

Augusta, GA · On-site

$67K - $87K/yr

Documents prompt engineering patterns, skill specifications and build processes in the CoE ... Willingness to learn Cherry Bekaert's Tax, Assurance, Advisory and Wealth Management domains ...

Cherry Bekaert

AI Prompt and Skills Engineer

Alpharetta, GA · On-site

$70K - $90K/yr

Documents prompt engineering patterns, skill specifications and build processes in the CoE ... Willingness to learn Cherry Bekaert's Tax, Assurance, Advisory and Wealth Management domains ...

Cherry Bekaert

AI Prompt and Skills Engineer

Atlanta, GA · On-site

$69K - $89K/yr

Documents prompt engineering patterns, skill specifications and build processes in the CoE ... Willingness to learn Cherry Bekaert's Tax, Assurance, Advisory and Wealth Management domains ...

CYNET SYSTEMS

Data Engineer

Alpharetta, GA · On-site

$55/hr

This role focuses on prompt engineering model integration AI workflow design and full stack ... Core Banking or FinancialWealth management domain working experience required. Good to Have:

Florence Healthcare - US

Director of AI

Atlanta, GA

Establish AI Development Lifecycle (AI DLC) practices, including prompt engineering, evaluation ... Partner with Product Management on AI roadmaps and prioritization. * Work closely with Platform ...

TekCommands Inc

FSE Sr.AI Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Build and integrate AI-powered features -- leveraging LLMs, AI agents, prompt engineering, and the GenAI ecosystem to enhance product capabilities. * Design and manage relational (PostgreSQL) and ...

WorkNovas LLC

AI/ML Quality Engineer

Atlanta, GA · On-site

$69K - $89K/yr

Hands-on experience implementing the RAG pipelines - Knowledge Management with vector databases, embeddings, Graphs. * Working knowledge of prompt engineering, optimisation and fine-tuning.

FHR

M724-UiPath Developer 65886

Atlanta, GA · On-site

... management systems, and cloud services. Implement secure automation practices aligned with state ... Implement retrieval-augmented generation (RAG), prompt engineering, and AI orchestration techniques ...

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Manager Prompt Engineering information

What is a manager of prompt engineering?

A Manager of Prompt Engineering is a professional who leads teams focused on designing, developing, and optimizing prompts for artificial intelligence models, particularly large language models (LLMs) like ChatGPT. They oversee the creation of effective prompts to ensure AI systems provide accurate, relevant, and safe responses. This role involves collaborating with data scientists, engineers, and product managers, as well as setting best practices for prompt creation and evaluation. Additionally, they may be responsible for training team members and implementing strategies to improve prompt performance over time.

What are the key skills and qualifications needed to thrive as a manager of prompt engineering?

To thrive as a Manager of Prompt Engineering, you need expertise in natural language processing, AI model deployment, and prompt design, typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), prompt engineering platforms, and version control systems is expected, along with experience managing technical teams. Strong leadership, problem-solving, and communication skills distinguish top performers in this role. These abilities are crucial for ensuring effective AI solutions, driving team productivity, and aligning prompt engineering initiatives with organizational goals.

How does a manager of prompt engineering typically collaborate with cross-functional teams to optimize AI outputs?

As a Manager of Prompt Engineering, you will frequently collaborate with data scientists, software engineers, product managers, and UX designers to refine and optimize prompt strategies for AI models. This involves translating business requirements into effective prompt templates, conducting prompt experiments, and communicating findings to stakeholders. Regular cross-functional meetings and feedback sessions are common, ensuring that the AI outputs align with both technical capabilities and user needs. Building strong relationships across teams is essential for successfully iterating on prompt designs and deploying scalable solutions.

Are manager prompt engineers still in demand?

Manager prompt engineers are increasingly in demand as organizations seek professionals who can optimize AI interactions and develop effective prompts. The role requires skills in AI, natural language processing, and team management, and is expected to grow with the expansion of AI applications across industries.

Is manager prompt engineering a good career?

Manager prompt engineering is a growing role focused on designing and optimizing prompts for AI systems, requiring skills in AI, machine learning, and communication. It offers opportunities in technology companies and startups, often involving collaboration with data scientists and engineers. The career can be rewarding with increasing demand as AI adoption expands across industries.

What are the most commonly searched types of Prompt Engineering jobs in Georgia?

The most popular types of Prompt Engineering jobs in Georgia are:

What are popular job titles related to Manager Prompt Engineering jobs in Georgia?

For Manager Prompt Engineering jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Manager Prompt Engineering jobs in Georgia look for?

The top searched job categories for Manager Prompt Engineering jobs in Georgia are:

What cities in Georgia are hiring for Manager Prompt Engineering jobs?

Cities in Georgia with the most Manager Prompt Engineering job openings:

Manager Prompt Engineering jobs near you

LLM/Prompt-Context Engineer - Fullstack Python (AI Agents, LangGraph, Context Engineering)

Diversity Nexus

Atlanta, GA • On-site

Full-time

Re-posted 19 days ago

Job description

Job Summary:
Diversity Nexus is seeking a highly skilled LLM/Prompt-Context Engineer with a strong fullstack Python background. The role involves designing, developing, and integrating intelligent systems focused on large language models, prompt engineering, and advanced context management.
Responsibilities:
• Design, optimize, and evaluate prompts for LLMs to achieve precise, reliable, and contextually relevant outputs across a variety of use cases.
• Architect and implement dynamic context management strategies, including session memory, retrieval-augmented generation, and user personalization, to enhance agent performance.
• Integrate, fine-tune, and orchestrate LLMs within Python-based applications, leveraging APIs and custom pipelines for scalable deployment.
• Build and manage complex conversational and agent workflows using the LangGraph framework to support multi-agent or multi-step solutions.
• Develop robust backend services, APIs, and (optionally) front-end interfaces to enable end-to-end AI-powered applications.
• Work closely with product, data science, and engineering teams to define requirements, run prompt experiments, and iterate quickly on solutions.
• Implement testing, monitoring, and evaluation pipelines to continuously improve prompt effectiveness and context handling.
Qualifications:
Required:
• Deep experience with full stack Python development (FastAPI, Flask, Django; SQL/NoSQL databases).
• Demonstrated expertise in prompt engineering for LLMs (e.g., OpenAI, Anthropic, open-source LLMs).
• Strong understanding of context engineering, including session management, vector search, and knowledge retrieval strategies.
• Hands-on experience integrating AI agents and LLMs into production systems.
• Proficient with conversational flow frameworks such as LangGraph.
• Familiarity with cloud infrastructure, containerization (Docker), and CI/CD practices.
• Exceptional analytical, problem-solving, and communication skills.
Preferred:
• Experience evaluating and fine-tuning LLMs or working with RAG architectures.
• Background in information retrieval, search, or knowledge management systems.
• Contributions to open-source LLM, agent, or prompt engineering projects.
Company:
Diversity Nexus provides workforce inclusion staffing, payrolling, and supplier diversity solutions for large enterprises. Founded in , the company is headquartered in Princeton, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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