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Prompt Engineering Ai Jobs (NOW HIRING)

Experiment with prompt engineering techniques. * Design and refine multi-step AI workflows. * Improve system reliability through iteration. Evaluation & Monitoring * Evaluate model responses using ...

Experiment with prompt engineering techniques. * Design and refine multi-step AI workflows. * Improve system reliability through iteration. Evaluation & Monitoring * Evaluate model responses using ...

Stay abreast of the latest advancements in LLMs, generative AI, and prompt engineering techniques. * Fine-tuning & RAG Support: Provide input and collaborate on strategies for model fine-tuning and ...

Design and improve prompt engineering and context engineering workflows, including AI evaluation, debugging, and tuning for real-world product scenarios. Build and improve AI agent systems with ...

Stay abreast of the latest advancements in LLMs, generative AI, and prompt engineering techniques. * Fine-tuning & RAG Support: Provide input and collaborate on strategies for model fine-tuning and ...

Stay abreast of the latest advancements in LLMs, generative AI, and prompt engineering techniques. * Fine-tuning & RAG Support: Provide input and collaborate on strategies for model fine-tuning and ...

AI Enablement Governance Define best practices for prompt engineering across teams. Ensure compliance with enterprise security, data privacy, and ethical AI guidelines. Managerial Responsibilities ...

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Prompt Engineering Ai information

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$32.5K

$63K

$95.5K

How much do prompt engineering ai jobs pay per year?

As of Jun 3, 2026, the average yearly pay for prompt engineering ai in the United States is $62,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $72,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Prompt Engineer in AI, and why are they important?

To thrive as a Prompt Engineer in AI, you need a strong background in computer science, natural language processing, and experience with large language models, often supported by a relevant degree or technical training. Familiarity with AI platforms (such as OpenAI’s GPT), prompt design tools, and programming languages like Python is typically required. Creative problem-solving, attention to detail, and effective communication are crucial soft skills for optimizing prompts and collaborating with cross-functional teams. These skills ensure the development of accurate, efficient, and user-aligned AI outputs in fast-evolving environments.

What are some common challenges faced by Prompt Engineering AI professionals when collaborating with multidisciplinary teams?

Prompt Engineering AI professionals often work closely with data scientists, product managers, and software engineers. One common challenge is translating complex technical requirements from non-technical stakeholders into clear, actionable prompts for AI models. Maintaining effective communication and aligning expectations across teams is crucial, as is ensuring that AI outputs meet both technical and business objectives. Adaptability and a collaborative mindset are essential to navigate differing priorities and continuously optimize AI model performance.

What is a Prompt Engineer in AI?

A Prompt Engineer in AI is a specialist who designs, tests, and refines the inputs (prompts) given to large language models or generative AI systems to optimize their outputs. They work to understand how different prompt formulations influence AI responses, aiming to make the AI perform specific tasks more accurately and reliably. This role often requires strong analytical skills, creativity, and an understanding of both natural language and the capabilities of AI models. Prompt engineers collaborate with product teams, data scientists, and developers to create efficient workflows and improve user experience with AI tools.

What is the difference between Prompt Engineering Ai vs Data Scientist?

AspectPrompt Engineering AiData Scientist
Required CredentialsKnowledge of AI models, programming, and prompt designDegree in Data Science, Statistics, or related fields
Work EnvironmentTech companies, AI labs, startupsResearch institutions, tech firms, finance, healthcare
Industry UsageAI development, NLP applications, chatbot designData analysis, predictive modeling, data-driven decision making

Prompt Engineering Ai focuses on designing effective prompts for AI models, primarily working with language models and AI tools. Data Scientists analyze data, build models, and generate insights. While both roles require technical skills, Prompt Engineers specialize in AI prompt optimization, whereas Data Scientists work with broader data analysis and statistical methods.

More about Prompt Engineering Ai jobs
What cities are hiring for Prompt Engineering Ai jobs? Cities with the most Prompt Engineering Ai job openings:
What states have the most Prompt Engineering Ai jobs? States with the most job openings for Prompt Engineering Ai jobs include:
Infographic showing various Prompt Engineering Ai job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.
Prompt Engineering Specialist (Hybrid)

Prompt Engineering Specialist (Hybrid)

Axelon

Aliso Viejo, CA • Hybrid

Full-time

Posted 7 days ago


Job description

Prompt Engineering Specialist (Hybrid)

Location: Connecticut | Pay: 52/hr

Job Responsibilities:

  • Support the Medicare STARS data science team in designing, optimizing, and managing AI prompts for analytics and agentic workflows on the Snowflake platform.
  • Design and optimize prompts for LLM-based workflows within Snowflake's agentic DTI platform
  • Collaborate with data science and business teams to translate Medicare STARS use cases into effective AI prompts
  • Build and test prompt pipelines for proactive member insights, intervention flagging, and score tracking Iterate on prompt performance to improve accuracy and reliability of AI-generated outputs
  • Document prompt libraries and best practices for reuse across the team

Qualifications:

  • Hands-on experience with LLMs (GPT, Claude, or similar) [must be visible on resume]
  • Strong understanding of prompt design patterns and chain-of-thought techniques
  • Familiarity with Snowflake Cortex or similar AI/ML platforms
  • Healthcare domain knowledge (Medicare STARS a plus)
  • Python or SQL for data interaction

Axelon logo

About Axelon

Sourced by ZipRecruiter

Axelon is a leading staffing and recruiting firm headquartered in New York, NY, US. Rooted within the staffing solutions industry, it was established with a mission to connect and leverage talent worldwide. Its official website is axelon.com. Axelon provides a range of services from staffing solutions to consulting services. With decades of service delivery experience under their belt, they possess an unrivaled ability to deliver global talent across all industries and professions, including information technology, administrative, engineering, professional, and scientific sectors. Axelon places strong emphasis on collaborative values, tirelessly working to build strong relationships with clients, candidates, employees, and vendors alike.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

New York, NY, US

Year founded

1977

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