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Prompt Engineering Ai Jobs (NOW HIRING)

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

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 ...

Sensi.ai

Prompt Engineer

Austin, TX · On-site

AI product lines. This role combines linguistic creativity, AI prompt engineering, and real-world experimentation. You'll work closely with product managers, who will provide requirements and ...

Vertiv Co

AI / ML Platform Engineer

Westerville, OH · On-site

The AI / ML Platform Engineer will operate within the Digital organization and play a central role ... Lead Prompt Engineering and Optimization: Design, develop, test, and continuously refine prompts ...

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

... 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 ...

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

... 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 ...

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Prompt Engineering Ai information

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How much do prompt engineering ai jobs pay per year?

As of Jul 14, 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 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.

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.
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Prompt Engineering Ai jobs near you
Infographic showing various Prompt Engineering Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.

AI Engineer

OPPO US Research Center

Palo Alto, CA • On-site

Full-time

Re-posted 24 days ago

Job description

OPPO AI Center is seeking a passionate AI Engineer to help build next-generation AI products and intelligent agent systems. In this role, you will design, develop, and deploy advanced LLM and AI Agent technologies that integrate text and vision capabilities. You will work closely with cross-functional teams to build scalable AI solutions and bring AI technologies into real-world products and user experiences.

Key Responsibilities:

Develop and optimize AI applications based on LLMs and multimodal foundation models, with strong understanding of model quality, latency, and cost trade-offs.

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 capabilities such as memory management, context management, and tool usage for production AI applications.

Requirements

Minimum Qualifications:

Master's degree in CS, AI, ML, CV, NLP, or a related field; or Bachelor's degree with 2+ years of industry experience in related areas.

Hands-on experience with LLM APIs and modern foundation models, with solid understanding of model trade-offs across quality, latency, scalability, and cost efficiency in real-world AI applications.

Strong understanding of prompt engineering, context engineering, AI agent architectures, memory and context management, and tool-calling workflows, with the ability to independently perform AI system evaluation, debugging, tuning, and optimization.

Preferred Qualifications:

Experience building and deploying AI agent systems, including tool-use agents, workflow automation agents, and multimodal AI applications in production environments.

Familiarity with modern AI frameworks and ecosystems such as LangChain, OpenAI API, Anthropic API, Gemini API, vector databases, RAG pipelines, and agent orchestration frameworks.

Strong problem-solving and communication skills, with the ability to rapidly prototype, iterate, and collaborate across research, engineering, and product teams in a fast-paced AI development environment.

Benefits

OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

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