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Llm Prompt Engineer Jobs in Missouri (NOW HIRING)

MasterCard

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

Lead LLM fine-tuning, prompt engineering, and model alignment strategies - including RLHF, PEFT, LoRA, and instruction tuning - to adapt foundation models for specialized enterprise use cases.

Elite Technical

AI/ML Developer

Saint Louis, MO · On-site

... LLM APIs - OpenAI Chat Completions, Responses API, streaming, tool calling - Async Python - asyncio, httpx, FastAPI - Prompt engineering - system prompts, few-shot, structured JSON output - Circuit ...

Mastercard, Inc.

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

... LLM fine-tuning, prompt engineering, and model alignment strategies - including RLHF, PEFT, LoRA, and instruction tuning - to adapt foundation models for specialized enterprise use cases. • ...

Jobgether

$80K - $110K/yr

Develop production-grade LLM applications leveraging Claude APIs, LangGraph, LangChain, advanced prompt engineering, RAG, vector databases, MCP, and multi-agent workflows. * Define and implement ...

LRS

Software Engineer

Kansas City, MO · On-site

$160K - $185K/yr

Experience with prompt engineering or LLM evaluation tools. Familiarity with TypeScript backend ... frameworks such as NestJS or Prisma. Experience with streaming systems for real time AI features.

Brightli

Principal AI Engineer

Springfield, MO · On-site

... LLM technologies to structured data. • Partner with Data Engineering on prompt design, query generation frameworks, and evaluation methodologies. • Identify high-impact AI opportunities across ...

Exavalu

Principal Agentic AI Engineer

California, MO · On-site

$140 - $200/hr

Large Language Model (LLM) applications * Retrieval-Augmented Generation (RAG) * Agentic AI ... AI Orchestration * Prompt Engineering Frameworks & Technologies * LangGraph * AI Workflow ...

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Llm Prompt Engineer information

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 are the key skills and qualifications needed to thrive as an LLM Prompt Engineer?

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 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.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with large language models and AI systems. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, with job growth driven by expanding AI applications across industries.

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Llm Prompt Engineer jobs near you

Machine Learning / Prompt Engineer (Ollama, Langchain, hugging face and tensor flow)

RIT Solutions, Inc.

Chesterfield, MO • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
RIT Solutions, Inc. is seeking a Machine Learning / Prompt Engineer to work on innovative AI solutions. The role involves crafting effective prompts, model training, and optimization using various machine learning libraries and frameworks.
Qualifications:
Required:
• Ollama
• Langchain
• Hugging face
• Tensor Flow
• Expert - crafting effective prompts for tasks like role-playing, summarization, classification, reasoning, and creative generation
• Machine learning (model training, fine-tuning) with python, ollama, langchain, huggingface
• Libraries (e.g. TensorFlow, PyTorch, pandas, ffmpeg, scikit-learn)
• Expert: design, optimize, model training, fine-tuning, LoRA, evaluation, and optimization
• Generative AI/LLM (Large Language Model, type of machine learning model specifically designed to process and generate human-like text.)
• Deep understanding of LLM behavior, hyperparameters, tokenization, and context windows
• Retrieval augmented generation
• testing experience.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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