Atlanta, GA · On-site
Prompt & Context Engineering: Design, optimize, and evaluate prompts for LLMs to achieve precise ... Integrate, fine-tune, and orchestrate LLMs within Python-based applications, leveraging APIs and ...
Atlanta, GA · On-site
Prompt & Context Engineering: Design, optimize, and evaluate prompts for LLMs to achieve precise ... Integrate, fine-tune, and orchestrate LLMs within Python-based applications, leveraging APIs and ...
... based solutions including Service Assist AI and Agent Desktop aligned initiatives. * This role focuses on prompt engineering model integration AI workflow design and full stack enablement working ...
Quick apply
... based solutions including Service Assist AI and Agent Desktop aligned initiatives. * This role focuses on prompt engineering model integration AI workflow design and full stack enablement working ...
Alpharetta, GA · On-site
Create guided conversational flows and prompt engineering strategies to optimize AI responses ... Monitor and iterate on AI model performance, implementing continual improvements based on user ...
Alpharetta, GA · On-site
Create guided conversational flows and prompt engineering strategies to optimize AI responses ... Monitor and iterate on AI model performance, implementing continual improvements based on user ...
Alpharetta, GA · On-site +1
Create guided conversational flows and prompt engineering strategies to optimize AI responses ... Monitor and iterate on AI model performance, implementing continual improvements based on user ...
Alpharetta, GA · On-site +1
Create guided conversational flows and prompt engineering strategies to optimize AI responses ... Monitor and iterate on AI model performance, implementing continual improvements based on user ...
Atlanta, GA · On-site
$158.95K - $215.05K/yr
Define end-to-end architectures for AI systems incorporating autonomous agents and LLM-based ... Implement advanced prompt engineering and retrieval-augmented generation strategies. • Technical ...
Atlanta, GA · On-site
$158.95K - $215.05K/yr
Define end-to-end architectures for AI systems incorporating autonomous agents and LLM-based ... Implement advanced prompt engineering and retrieval-augmented generation strategies. • Technical ...
Looking for candidates with strong Python-based data science and machine learning experience, along ... Knowledge of RAG, prompt engineering, vector DBs
Quick apply
Looking for candidates with strong Python-based data science and machine learning experience, along ... Knowledge of RAG, prompt engineering, vector DBs
Atlanta, GA · On-site
$130.80K/yr
Hybrid (2 days onsite, 3 days work from home) Role Purpose The Digital Innovation & Enablement ... prompt engineering, and workflow automation. - Skilled in content creation (video editing, visual ...
Atlanta, GA · On-site
$130.80K/yr
Hybrid (2 days onsite, 3 days work from home) Role Purpose The Digital Innovation & Enablement ... prompt engineering, and workflow automation. - Skilled in content creation (video editing, visual ...
... prompt engineering and orchestration Proven experience with RAG architectures, embeddings, and ... based applications
... prompt engineering and orchestration Proven experience with RAG architectures, embeddings, and ... based applications
... prompt engineering and orchestration Proven experience with RAG architectures, embeddings, and ... based applications
... prompt engineering and orchestration Proven experience with RAG architectures, embeddings, and ... based applications
... prompt engineering, LLM integrations (OpenAI/Azure OpenAI/Anthropic/Hugging Face), using LangChain ... Hands-on experience in IAM / Policy-based Authorization management solution like Plain ID is a big ...
... prompt engineering, LLM integrations (OpenAI/Azure OpenAI/Anthropic/Hugging Face), using LangChain ... Hands-on experience in IAM / Policy-based Authorization management solution like Plain ID is a big ...
... models based on accuracy, latency, cost, risk, and business value. Familiarity with prompt engineering, structured outputs, tool/function calling, agentic workflows, model orchestration ...
... models based on accuracy, latency, cost, risk, and business value. Familiarity with prompt engineering, structured outputs, tool/function calling, agentic workflows, model orchestration ...
... models based on accuracy, latency, cost, risk, and business value. • Familiarity with prompt engineering, structured outputs, tool/function calling, agentic workflows, model orchestration ...
... models based on accuracy, latency, cost, risk, and business value. • Familiarity with prompt engineering, structured outputs, tool/function calling, agentic workflows, model orchestration ...
$49 - $67.50/hr
... Python-based web applications, backend services, and automation solutions • Build AI-driven ... prompt engineering & Agentic AI ✔ Experience with Pandas, NumPy, Scikit-learn ✔ Strong UiPath ...
$49 - $67.50/hr
... Python-based web applications, backend services, and automation solutions • Build AI-driven ... prompt engineering & Agentic AI ✔ Experience with Pandas, NumPy, Scikit-learn ✔ Strong UiPath ...
We are the home of the global digital revolution. We are CNN. To see what it's like to work atCNN ... Key areas you will work on Prompt Engineering: Design, build, iterate on, and maintain prompts for ...
We are the home of the global digital revolution. We are CNN. To see what it's like to work atCNN ... Key areas you will work on Prompt Engineering: Design, build, iterate on, and maintain prompts for ...
Design and develop AI/ML models and intelligent agent-based systems * Build and optimize scalable ... Knowledge of prompt engineering and LLM fine-tuning * Familiarity with vector databases and ...
Design and develop AI/ML models and intelligent agent-based systems * Build and optimize scalable ... Knowledge of prompt engineering and LLM fine-tuning * Familiarity with vector databases and ...
Strong prompt engineering (design, iteration, and evaluation). Experience with vector databases (e.g., Milvus, Pinecone, Chroma, FAISS or similar) and embedding-based retrieval. Experience with GenAI ...
Strong prompt engineering (design, iteration, and evaluation). Experience with vector databases (e.g., Milvus, Pinecone, Chroma, FAISS or similar) and embedding-based retrieval. Experience with GenAI ...
... prompt engineering (design, iteration, and evaluation). • Experience with vector databases (e.g., Milvus, Pinecone, Chroma, FAISS or similar) and embedding-based retrieval. • Experience with ...
... prompt engineering (design, iteration, and evaluation). • Experience with vector databases (e.g., Milvus, Pinecone, Chroma, FAISS or similar) and embedding-based retrieval. • Experience with ...
Atlanta, GA · On-site +1
Proficiency in prompt engineering, demonstrating accountability to build, improve, and optimize ... For US-based roles: The base salary range for this role is $112,000 to $143,000 + bonus, equity ...
Atlanta, GA · On-site +1
Proficiency in prompt engineering, demonstrating accountability to build, improve, and optimize ... For US-based roles: The base salary range for this role is $112,000 to $143,000 + bonus, equity ...
Atlanta, GA · On-site
$16 - $21/hr
Design, prompt, and deploy Gemini-powered agents to automate repetitive GTM tasks (e.g., lead ... Must be based in Atlanta * Must be 18+ years old. * Currently studying (or a recent grad) of a ...
Atlanta, GA · On-site
$16 - $21/hr
Design, prompt, and deploy Gemini-powered agents to automate repetitive GTM tasks (e.g., lead ... Must be based in Atlanta * Must be 18+ years old. * Currently studying (or a recent grad) of a ...
We are the home of the global digital revolution. We are CNN. To see what it's like to work at CNN ... Key areas you will work on Prompt Engineering: Design, build, iterate on, and maintain prompts for ...
We are the home of the global digital revolution. We are CNN. To see what it's like to work at CNN ... Key areas you will work on Prompt Engineering: Design, build, iterate on, and maintain prompts for ...
$28.4K - $34.8K
3% of jobs
$34.8K - $41.2K
13% of jobs
$45.1K is the 25th percentile. Wages below this are outliers.
$41.2K - $47.6K
15% of jobs
$47.6K - $54.1K
12% of jobs
The median wage is $58.6K / yr.
$54.1K - $60.5K
11% of jobs
$60.5K - $66.9K
9% of jobs
$66.9K - $73.3K
6% of jobs
$78K is the 75th percentile. Wages above this are outliers.
$73.3K - $79.8K
10% of jobs
$79.8K - $86.2K
6% of jobs
$86.2K - $92.6K
15% of jobs
$92.6K - $99.1K
1% of jobs
$28.4K
$63.7K
$99K
| Aspect | Home Based Prompt Engineering | Remote AI Content Specialist |
|---|---|---|
| Required Credentials | Basic understanding of AI prompts, no formal certification needed | Experience in content creation, possibly some AI tool familiarity |
| Work Environment | Home-based, flexible hours | Home-based, project or task-based |
| Industry Usage | AI development, chatbot training, prompt optimization | Content marketing, social media, digital content creation |
| Common Search Intent | Jobs involving AI prompt design from home | Remote content creation roles involving AI tools |
Home Based Prompt Engineering focuses on designing and refining prompts for AI models, often requiring technical understanding of AI systems. In contrast, Remote AI Content Specialists create digital content using AI tools, emphasizing content skills. Both roles are home-based and industry-related but differ in technical depth and primary tasks.
Atlanta, GA • On-site
Other
This job post has expired today. Applications are no longer accepted.
5 openings
Tech M TechM182458
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TechM182472
TechM182483 LLM/Prompt-Context Engineer - Fullstack Python
(AI Agents, LangGraph, Context Engineering) Location -
1st Atlanta,
2nd Dallas,
3rd Seattle Onsite Pay rate:TBD
Telecommunication LLM/Prompt-Context Engineer - Fullstack Python (AI Agents, LangGraph, Context Engineering)
Location - 1st Atlanta, 2nd Dallas, 3rd Seattle (Onsite no remote).
Onsite interview required
We are looking for a highly skilled LLM/Prompt-Context Engineer with a strong fullstack Python background to design, develop, and integrate intelligent systems focused on
large language models (LLMs), prompt engineering, and advanced context management. In this role, you will play a critical part in architecting context-rich AI solutions,
crafting effective prompts, and ensuring seamless agent interactions using frameworks like LangGraph.
Key Responsibilities:
Prompt & Context Engineering:
Design, optimize, and evaluate prompts for LLMs to achieve precise, reliable, and contextually relevant outputs across a variety of use cases.
Context Management:
rchitect and implement dynamic context management strategies, including session memory, retrieval-augmented generation, and user personalization, to enhance agent performance.
LLM Integration:
Integrate, fine-tune, and orchestrate LLMs within Python-based applications, leveraging APIs and custom pipelines for scalable deployment.
LangGraph & Agent Flows:
Build and manage complex conversational and agent workflows using the LangGraph framework to support multi-agent or multi-step solutions.
Full Stack Development:
Develop robust backend services, APIs, and (optionally) front-end interfaces to enable end-to-end AI-powered applications.
Collaboration:
Work closely with product, data science, and engineering teams to define requirements, run prompt experiments, and iterate quickly on solutions.
Evaluation & Optimization:
Implement testing, monitoring, and evaluation pipelines to continuously improve prompt effectiveness and context handling.
Required Skills & Qualifications:
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.
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