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

... LLM/GenAI solutions with Claude/GPT(Codex)/Gemini-class models, including prompt/context design ... AI Engineer Consultant Our Deloitte Human Capital team transforms technology platforms, drives ...

Establish and enforce input/output controls, prompt handling standards, and data classification ... Familiarity with OWASP LLM Top 10 and MITRE ATLAS as applied threat frameworks. * Experience with ...

Lead Forward Deployed Engineer - Snowflake

Atlanta, GA · On-site

$98.60K - $129.80K/yr

... prompt management * Experience integrating LLM solutions with enterprise systems via APIs ... At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn ...

Lead Forward Deployed Engineer, Snowflake

Atlanta, GA · On-site

$98.60K - $129.80K/yr

... prompt management * Experience integrating LLM solutions with enterprise systems via APIs ... At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn ...

Experience working with LLM APIs (OpenAI, Anthropic, etc.) * Familiarity with AI frameworks such as LangChain, LlamaIndex, or similar * Understanding of AI/ML lifecycle and prompt engineering

Understanding of prompt engineering, context management, and model limitations. * Experience ... Experience with LLM frameworks such as LangChain, LlamaIndex, or Semantic Kernel. * Familiarity ...

Agentic Delivery Senior Engineer

Atlanta, GA · On-site

$100.50K - $138K/yr

Experience with prompt engineering, LLM APIs, orchestration patterns, or retrieval-augmented generation architectures * Experience using BI, reporting, or visualization tools to support adoption ...

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Llm Prompt Engineer information

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How much do llm prompt engineer jobs pay per hour?

As of May 30, 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 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 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.

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.

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 are popular job titles related to Llm Prompt Engineer jobs in Decatur, GA? For Llm Prompt Engineer jobs in Decatur, GA, the most frequently searched job titles are:
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:
Python Full Stack Developer

Python Full Stack Developer

Lorven Technologies

Alpharetta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Hello Professionals,
Our client is looking Python Full Stack Developer in Alpharetta, GA (Hybrid) below is the detailed requirements.
Job Title : Python Full Stack Developer
Location : Alpharetta, GA (Hybrid)
Job Description
  • 10+ years of professional software development experience, with demonstrated full stack delivery in production.
  • Strong Python expertise (Django/Flask/FastAPI), plus proficiency in a modern front end framework (React/Angular/Vue).
  • Hands on experience with Red Hat OpenStack Operators, Helm Charts and cloud platforms (AWS/Azure/GCP).
  • Proficiency with containers (Docker), Kubernetes/OpenShift, and CI/CD pipelines (GitHub Actions/GitLab/Jenkins/Azure DevOps).
  • Experience in database administration including PostgreSQL , MongoDB, Redis
  • Proven track record building GenAI solutions using RAG: embeddings, vector search, retrieval tuning, prompt engineering, LLM integrations (OpenAI/Azure OpenAI/Anthropic/Hugging Face), using LangChain/LlamaIndex or equivalent.
  • Experience with vector databases (FAISS/Milvus/Pinecone/pgvector) and document processing (PDF/HTML/markdown, chunking strategies).
  • Solid understanding of API security (OAuth2/OIDC/JWT), networking, microservices, and event-driven architectures (Kafka/SQS/PubSub).
  • Hands-on experience in IAM / Policy-based Authorization management solution like Plain ID is a big plus.
  • Strong knowledge of testing (unit/integration/e2e), observability, and performance optimization.
  • Excellent communication, design documentation, and stakeholder collaboration

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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