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Text Prompt Engineering Jobs (NOW HIRING)

Judge Group, Inc.

AI/ML Engineer

Jersey City, NJ · On-site

$70 - $80/hr

Design and implement prompt engineering strategies, agentic workflows, and orchestration frameworks ... By providing your phone number, you consent to: (1) receive automated text messages and calls from ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation ... text) or emerging LLMs and agent-based systems. - Experience with open source LLMs & toolkits ...

Dcode Talent LLC

GenAI Engineer

Woodlawn, MD · On-site

... text and language generation. · Data management, preprocessing, and feature engineering skills. · Expertise with prompt engineering techniques for guiding AI models. · Experience with cloud-based ...

OPPO US Research Center

AI Engineer

Palo Alto, CA

... text and vision capabilities. You will work closely with cross-functional teams to build scalable ... Design and improve prompt engineering and context engineering workflows, including AI evaluation ...

ISite Technologies Inc

AI Developer

Manhattan, NY · On-site

Knowledge of multimodal AI (text, documents, images, formula parsing) * Strong programming ... Experience with prompt engineering and reasoning frameworks (ReAct, Chain-of-Thought) * Experience ...

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

... text and vision capabilities. You will work closely with cross-functional teams to build scalable ... and improve prompt engineering and context engineering workflows, including AI evaluation ...

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

... text and vision capabilities. You will work closely with cross-functional teams to build scalable ... and improve prompt engineering and context engineering workflows, including AI evaluation ...

Clerk AI

Staff Software Engineer

San Francisco, CA

Own the AI orchestration layer -from prompt engineering to context management, tool calling, and ... Familiarity with speech-to-text, text-to-speech, or VAD technologies * Background in prompt ...

Prolim Global

Facebook - Linguist III

Burlingame, CA · On-site

... and text data • Familiar with Large Language Models (LLMs), prompt engineering and their applications • Comfortable working in a fast paced, highly collaborative, dynamic work environment • ...

VDart, Inc.

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... text/text-to-speech. 3. Develop secure, resilient cloud infrastructure on major cloud service ... XGBoost, SARIMA, Prophet, prompt engineering, and TensorFlow into production systems. 8. ...

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All JobsText Prompt Engineering Jobs

Text Prompt Engineering information

See salary details

$32.5K

$63K

$95.5K

How much do text prompt engineering jobs pay per year?

As of Jun 29, 2026, the average yearly pay for text prompt engineering 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 some common challenges faced by Text Prompt Engineers when working with AI models, and how can they be addressed?

Text Prompt Engineers often encounter challenges such as ensuring prompts yield consistent and accurate responses from AI models and mitigating issues like model bias or ambiguous outputs. To address these, it’s important to iteratively test and refine prompts, collaborate closely with data scientists, and stay updated on model capabilities and limitations. Additionally, documenting prompt strategies and sharing learnings with the team can help streamline future projects and improve overall output quality.

What is text prompt engineering?

Text prompt engineering is the process of designing, refining, and optimizing prompts to guide AI language models, like ChatGPT, towards producing desired outputs. It involves understanding how AI interprets natural language and crafting instructions or queries that elicit specific, accurate, or creative responses. Prompt engineers experiment with phrasing, structure, and context to improve the model's performance on various tasks, such as content generation, summarization, or problem-solving. This emerging field is crucial for maximizing the effectiveness of AI in real-world applications.

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

AspectText Prompt EngineeringData Scientist
Required CredentialsKnowledge of NLP, AI, and prompt design; often self-taught or with specialized coursesDegree in Data Science, Computer Science, or related fields; certifications like CAP or DASCA
Work EnvironmentPrimarily remote, focused on AI platforms and language modelsVaries; offices, research labs, or remote, working with data analysis and modeling
Industry UsageUsed in AI development, chatbot design, and NLP applicationsApplied in finance, healthcare, tech, and research for data analysis and predictive modeling

While both roles involve working with data and AI, Text Prompt Engineering focuses on designing effective prompts for language models, whereas Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in their primary tasks and industry applications.

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

To thrive as a Text Prompt Engineer, you need a strong grasp of natural language processing (NLP), prompt design best practices, and an understanding of AI model behavior, often supported by experience in linguistics or computer science. Familiarity with large language model platforms (such as OpenAI, Anthropic, or Google), version control tools, and prompt evaluation frameworks is common in this role. Exceptional critical thinking, creativity, and collaboration skills help engineers craft effective prompts and iterate quickly based on model outputs and team feedback. These competencies are crucial for maximizing AI performance, generating accurate results, and delivering real-world value from language models.
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Text Prompt Engineering jobs near you
Infographic showing various Text Prompt Engineering job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.
AI/ML Engineer

AI/ML Engineer

Judge Group, Inc.

Jersey City, NJ • On-site

$70 - $80/hr

Other

Posted 10 days ago

Key responsibilities

  • Lead the development, training, evaluation, and deployment of large-scale ML and AI models in production environments.

  • Design and implement prompt engineering strategies, agentic workflows, and orchestration frameworks to support advanced AI use cases.

  • Build and operate scalable ML systems using cloud platforms and distributed computing technologies.

Job description

Location: Jersey City, NJ Salary: $70.00 USD Hourly - $80.00 USD Hourly Description:
Senior Machine Learning Engineer / AI Engineer
About the Role
We are seeking a Senior Machine Learning Engineer to lead the design, development, and production deployment of advanced AI and machine learning solutions. In this role, you will work across engineering, product, and data teams to solve complex business problems, advance modern ML practices, and ensure responsible and scalable AI systems. You will help foster a culture of technical excellence, experimentation, and continuous learning while working with state-of-the-art technologies.
Responsibilities
  • Lead the development, training, evaluation, and deployment of large-scale ML and AI models in production environments.
  • Design and implement prompt engineering strategies, agentic workflows, and orchestration frameworks to support advanced AI use cases.
  • Build and operate scalable ML systems using cloud platforms and distributed computing technologies.
  • Establish and promote MLOps best practices, including model versioning, monitoring, CI/CD pipelines, and automated retraining.
  • Partner closely with engineers, product managers, and data scientists to translate business requirements into robust ML solutions.
  • Ensure responsible AI practices, including model governance, reliability, security, and ethical considerations.
  • Communicate technical concepts and trade-offs clearly to both technical and non-technical stakeholders.
  • Contribute to technical leadership through design reviews, mentoring, and continuous improvement of engineering standards.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
  • Proven experience designing, training, and deploying machine learning or AI models in production systems.
  • Strong understanding of modern ML techniques and their application to real-world business problems.
  • Experience working with at least one major cloud platform (AWS, Azure, or Google Cloud Platform).
  • Excellent communication skills and the ability to collaborate in cross-functional environments.
Preferred Qualifications
  • Experience with prompt engineering, agentic systems, and AI orchestration frameworks.
  • Hands-on experience with distributed systems and large-scale compute frameworks such as Kubernetes, Ray, or Slurm.
  • Strong knowledge of MLOps tooling and practices, including MLflow, model monitoring, and CI/CD for ML workflows.
  • Demonstrated technical leadership, including influencing architecture decisions and mentoring other engineers.
  • Passion for detail, ownership, and delivering high-quality, reliable ML systems at scale.

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This job and many more are available through The Judge Group. Please apply with us today!

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