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Prompt Engineering Jobs in Aurora, IL (NOW HIRING)

Define strategies for prompt engineering, embeddings, chunking, retrieval, re-ranking, and model evaluation. *Design and optimize vector database solutions using Pinecone, Chroma, FAISS, Milvus, or ...

Define strategies for prompt engineering, embeddings, chunking, retrieval, re-ranking, and model evaluation. *Design and optimize vector database solutions using Pinecone, Chroma, FAISS, Milvus, or ...

Define strategies for prompt engineering, embeddings, chunking, retrieval, re-ranking, and model evaluation. *Design and optimize vector database solutions using Pinecone, Chroma, FAISS, Milvus, or ...

Define strategies for prompt engineering, embeddings, chunking, retrieval, re-ranking, and model evaluation. *Design and optimize vector database solutions using Pinecone, Chroma, FAISS, Milvus, or ...

Define strategies for prompt engineering, embeddings, chunking, retrieval, re-ranking, and model evaluation. *Design and optimize vector database solutions using Pinecone, Chroma, FAISS, Milvus, or ...

Define strategies for prompt engineering, embeddings, chunking, retrieval, re-ranking, and model evaluation. *Design and optimize vector database solutions using Pinecone, Chroma, FAISS, Milvus, or ...

Define strategies for prompt engineering, embeddings, chunking, retrieval, re-ranking, and model evaluation. *Design and optimize vector database solutions using Pinecone, Chroma, FAISS, Milvus, or ...

Define strategies for prompt engineering, embeddings, chunking, retrieval, re-ranking, and model evaluation. *Design and optimize vector database solutions using Pinecone, Chroma, FAISS, Milvus, or ...

Showing results 21-40

Prompt Engineering information

See Aurora, IL salary details

$32.2K

$62.4K

$94.7K

How much do prompt engineering jobs pay per year?

As of Aug 31, 2026, the average yearly pay for prompt engineering in Aurora, IL is $62,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,600.00 and $71,400.00 per year, depending on experience, location, and employer.

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

Is prompt engineering still in demand?

Prompt engineering is currently in high demand as organizations seek experts to optimize interactions with AI language models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, making it a valuable specialization in AI development and deployment.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to optimize the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to improve accuracy and relevance in outputs.

What are the most commonly searched types of Prompt Engineering jobs in Aurora, IL?

The most popular types of Prompt Engineering jobs in Aurora, IL are:

What are popular job titles related to Prompt Engineering jobs in Aurora, IL?

For Prompt Engineering jobs in Aurora, IL, the most frequently searched job titles are:

What job categories do people searching Prompt Engineering jobs in Aurora, IL look for?

The top searched job categories for Prompt Engineering jobs in Aurora, IL are:

What cities near Aurora, IL are hiring for Prompt Engineering jobs?

Cities near Aurora, IL with the most Prompt Engineering job openings:

Infographic showing various Prompt Engineering job openings in Aurora, IL as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $62,437 per year, or $30 per hour.

Senior AI Solutions Architect

Villa Park, IL โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

We are seeking a Senior AI Solutions Architect to lead the architecture and development of scalable Generative AI, LLM, and RAG solutions. This is a hands-on technical leadership role focused on architecture, Python development, AWS, and production AI applications.

Responsibilities

*Own the end-to-end architecture and technical design of LLM and Generative AI solutions.
*Translate business requirements into scalable solution architectures, technical plans, and development tasks.
*Define architecture standards, integration patterns, technical decisions, and engineering best practices.
*Provide technical direction, mentor engineers, and lead design and code reviews.
*Design and develop scalable Python APIs and microservices using FastAPI, Flask, or similar frameworks.
*Architect and implement LLM applications, LangChain workflows, and RAG pipelines.
*Define strategies for prompt engineering, embeddings, chunking, retrieval, re-ranking, and model evaluation.
*Design and optimize vector database solutions using Pinecone, Chroma, FAISS, Milvus, or similar technologies.
*Establish monitoring and evaluation for quality, relevance, latency, reliability, safety, and cost.
*Design secure, scalable, and resilient AI services on AWS, including Lambda, EC2, S3, EKS, and RDS.
*Partner with DevOps/MLOps teams on CI/CD, infrastructure automation, observability, incident response, and production support.
*Ensure solutions meet enterprise requirements for security, governance, availability, scalability, fault tolerance, and operational readiness.

Required Qualifications

*Extensive software engineering experience with technical leadership responsibilities.
*Strong hands-on Python and backend development experience.
*Experience with FastAPI, Flask, or comparable frameworks.
*Proven experience delivering production LLM/Generative AI and RAG applications.
*Strong knowledge of LLM architecture, prompt engineering, embeddings, vector databases, retrieval, re-ranking, and evaluation.
*Experience with OpenAI, Anthropic, Hugging Face, LangChain, or similar platforms/frameworks.
*Strong AWS cloud architecture and deployment experience.
*Experience with microservices, APIs, cloud security, scalability, and distributed systems.
*Strong experience leading architecture/design reviews, code reviews, technical planning, and complex engineering initiatives.
*Ability to mentor engineers and influence technical decisions without formal management authority.

Preferred Skills

*Experience with MLOps, CI/CD, infrastructure as code, and observability.
*Experience with enterprise AI governance, security, and responsible AI practices.
*Experience optimizing AI applications for performance, reliability, and cost.
*Experience working with cross-functional application, data, cloud, security, DevOps, and platform teams.