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Prompt Engineer Jobs in Springfield, MO (NOW HIRING)

Brightli

Principal AI Engineer

Springfield, MO

Strong understanding of modern data warehouse architecture and analytics data modeling practices Experience designing natural language query interfaces, prompt engineering, context management, and ...

Brightli

Principal AI Engineer

Springfield, MO · On-site

... Engineering with prompt design, query-generation frameworks, evaluation approaches, and integration tasks • Identify high-impact opportunities for AI across analytics, reporting, and decision ...

Brightli

Principal AI Engineer

Springfield, MO · On-site

... Engineering on prompt design, query generation frameworks, and evaluation methodologies. • Identify high-impact AI opportunities across analytics, reporting, and decision support. • Evaluate ...

Husch Blackwell Llp

Senior Software Engineer

Springfield, MO · On-site +1

$109K - $144K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... prompt-driven workflows * Knowledge of data pipeline architecture, data APIs, and cloud data ...

Husch Blackwell LLP

Senior Software Engineer

Springfield, MO · On-site +1

$109K - $144K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... prompt-driven workflows * Knowledge of data pipeline architecture, data APIs, and cloud data ...

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Prompt Engineer information

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$9

$42

$80

How much do prompt engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for prompt engineer in Springfield, MO is $42.83, according to ZipRecruiter salary data. Most workers in this role earn between $32.60 and $55.34 per hour, depending on experience, location, and employer.

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

What are popular job titles related to Prompt Engineer jobs in Springfield, MO?

For Prompt Engineer jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Prompt Engineer jobs in Springfield, MO look for?

The top searched job categories for Prompt Engineer jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Prompt Engineer jobs?

Cities near Springfield, MO with the most Prompt Engineer job openings:

Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Springfield, MO as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $89,079 per year, or $42.8 per hour.

Principal AI Engineer

Burrell Behavioral Health

Springfield, MO • On-site

Full-time

Re-posted 19 days ago

Burrell Behavioral Health rating

7.3

Company rating: 7.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

22nd of 242 rated social care providers

Job description

Job Summary:
Burrell Behavioral Health is a compassionate organization dedicated to improving client care in the behavioral health sector. They are seeking a Principal AI Engineer to lead the development of enterprise AI capabilities, focusing on building solutions that enhance decision-making and insights through advanced analytics and data management.
Responsibilities:
• Lead design and delivery of LLM‑enabled analytics capabilities using Snowflake and Cortex AI.
• Develop natural language–to–SQL solutions and conversational query interfaces for business users.
• Design and maintain semantic data models that support reliable AI‑driven query generation.
• Build prototype AI applications to demonstrate capabilities and validate business value.
• Drive the transition of prototypes into scalable, production‑ready solutions on the enterprise data platform.
• Define architectural patterns, best practices, and standards for applying LLM technologies to structured data.
• Partner with Data Engineering on prompt design, query generation frameworks, and evaluation methodologies.
• Identify high‑impact AI opportunities across analytics, reporting, and decision support.
• Evaluate emerging AI tools and Snowflake platform capabilities for adoption.
• Support development of responsible and secure AI usage standards aligned with data governance.
• Document system architectures, design decisions, and implementation approaches.
• Provide technical guidance and mentorship to analytics and data engineering team members.
• Function in accordance with operational guidelines and professional ethics.
• Participate in staff development activities.
• Perform other duties as assigned.
Qualifications:
Required:
• Bachelor’s degree or equivalent experience in Computer Science, Data Engineering, Data Science, Information Systems, or related field.
• 7+ years of experience in data, analytics, engineering, or applied AI roles.
• Demonstrated experience building or prototyping AI/LLM-driven solutions in enterprise environments.
• Experience with modern data warehouse platforms (Snowflake preferred).
• Proficiency in SQL and Python.
• Current driver’s license, acceptable driving record and current auto insurance (as listed in employment requirements).
Preferred:
• Experience with cloud platforms (AWS, Azure, or GCP) preferred.
• Healthcare or regulated industry experience preferred but not required.
• Strong understanding of modern data warehouse architecture and analytics data modeling practices.
• Experience designing natural language query interfaces or AI-assisted analytics tools.
• Knowledge of prompt engineering, context management, and grounding techniques for LLM systems.
• Knowledge of semantic data modeling and data governance principles.
• Ability to translate complex analytical questions into scalable technical solutions.
• Excellent communication skills for technical and non-technical stakeholders.
• Self-directed problem solver capable of leading new technical initiatives.
Company:
Burrell Behavioral Health is an autism & neuropsychology health center that offers mental health needs, counseling, & psychiatric services. Founded in 1977, the company is headquartered in Springfield, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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About Burrell Behavioral Health

Sourced by ZipRecruiter

Burrell Behavioral Health is an established leader in the Behavioral Health industry, based in Springfield, Missouri, United States. Its primary mission is to provide an extensive array of mental health services to individuals and their families. Their lengthy history in the field commenced in 1977, and their advancement since is built on creating a compassionate environment that encourages personal growth and aids in enhancing the lives of those they serve. Their broad-spectrum services include psychiatry, therapy, substance abuse treatment, Autism services, and community support services, amongst many others. One of their remarkable achievements is their drive towards increasing accessibility, and as a direct result, they have 17 locations in Missouri.

Industry

Offices of mental health practitioners

Company size

1,001 - 5,000 Employees

Headquarters location

Springfield, MO, US

Year founded

1977

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