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Text Prompt Engineering Jobs (NOW HIRING)

Apex Systems

Senior AI Engineer

Columbus, OH · On-site

$97K - $134K/yr

The position entails building and maintaining AI agents, leveraging prompt engineering, and ... Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for ...

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 ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site

$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 ...

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 ...

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 ...

Adbakx LLC

Python AI Engineer

Cleveland, OH · On-site

Design and implement AI solutions for multiple NLP tasks including text generation, summarization ... Familiarity with data preprocessing, prompt engineering, and performance tuning. Excellent problem ...

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 • ...

Apex Systems

Junior AI Engineer

Columbus, OH · On-site

Basic Prompt Engineering & AI Model Integration. * Understanding of AI/ML concepts and agent-based ... Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for ...

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All JobsText Prompt Engineering Jobs

Text Prompt Engineering information

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$32.5K

$63K

$95.5K

How much do text prompt engineering jobs pay per year?

As of Jul 21, 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.
More about Text Prompt Engineering jobs
What job categories do people searching Text Prompt Engineering jobs look for? The top searched job categories for Text Prompt Engineering jobs are:
Text Prompt Engineering jobs near you
Infographic showing various Text Prompt Engineering job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $62,977 per year, or $30.3 per hour.
Lead Cybersecurity - Insider Risk Engineer

Lead Cybersecurity - Insider Risk Engineer

AT and T

Charlotte, NC • On-site

$100K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

AT&T rating

7.3

Company rating: 7.3 out of 10

Based on 724 frontline employees who took The Breakroom Quiz

44th of 82 rated telecommunications companies

Job description

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.
Join AT&T and help shape the future of communications and technology that connect the world. We value innovators who seek to explore the unknown and challenge the status quo. Bring your bold ideas and fearless spirit to redefine connectivity and transform how people share stories and experiences. At AT&T, you won't just imagine the future-you'll build it.
The Insider Risk AI Engineer supports the design, development, and deployment of AI-enabled solutions that improve security operations and business workflows. This role focuses on building and iterating AI/ML and GenAI components (data prep, prompt/workflow design, evaluation, and lightweight model development), partnering with senior engineers, product owners, and operational teams to move prototypes into reliable services.
Key Responsibilities (AI-Focused)
  • Build AI prototypes and small services that solve defined problems (e.g., text classification, summarization, routing, search, Q&A, extraction).
  • Develop and maintain data pipelines for AI use cases (collect, clean, label, transform) using approved data sources.
  • Create and iterate on LLM prompts, agent/workflow logic, and retrieval-augmented generation (RAG) patterns for internal knowledge use cases.
  • Implement evaluation methods for AI outputs (quality, groundedness, hallucination checks, latency, cost) and report results.
  • Support model lifecycle tasks: experiment tracking, versioning, basic MLOps (packaging, deployment, monitoring).
  • Assist in integrating AI components into existing applications via APIs and lightweight UI or automation.
  • Document solutions (design notes, datasets, prompt versions, test cases) and contribute to internal reusable components.
  • Collaborate with stakeholders to define success metrics, acceptance criteria, and guardrails for AI-enabled features.

Example Use Cases (Optional)
  • Summarize tickets/incidents into standardized notes and action items.
  • Auto-tag and route requests based on description content.
  • Extract entities and indicators from unstructured text (emails, logs, reports).
  • Build an internal knowledge assistant over approved documentation with citations.
  • Generate draft playbooks/runbooks from templates and curated inputs.

Required Skills / Qualifications
  • 0-2 years of experience in software engineering, data engineering, analytics, or applied ML (internships/academic projects welcome).
  • Strong fundamentals in Python.
  • Working knowledge of:
  • Data structures, APIs, and basic software engineering practices (testing, code reviews, Git)
  • Data handling with pandas/SQL
  • ML basics (train/test splits, overfitting, common metrics) and/or LLM application patterns
  • Familiarity with at least one AI/ML framework or platform (coursework/labs acceptable): PyTorch, TensorFlow, scikit-learn, or common LLM tooling.
  • Ability to write clear documentation and communicate tradeoffs (quality vs cost vs latency).

Preferred Qualifications
  • Experience with GenAI application development patterns:
  • RAG (embeddings, vector databases, chunking strategies)
  • Prompt engineering and prompt versioning
  • Tool/function calling and agentic workflows
  • Output evaluation and red-teaming basics (prompt injection awareness, safety filters)
  • Exposure to MLOps concepts: CI/CD for ML, model registry, feature stores, monitoring drift.
  • Experience with cloud services (any of AWS/Azure/GCP) and containerization (Docker).
  • Basic understanding of privacy/security fundamentals for AI systems (data handling, access controls, logging).

Preferred Qualifications (expanded to include cybersecurity-aligned experience)
  • Experience with GenAI application development patterns:
  • RAG (embeddings, vector databases, chunking strategies)
  • Prompt engineering and prompt versioning
  • Tool/function calling and agentic workflows
  • Output evaluation and red-teaming basics (prompt injection awareness, safety filters)
  • Exposure to MLOps concepts: CI/CD for ML, model registry, feature stores, monitoring drift
  • Experience with cloud services (AWS/Azure/GCP) and containerization (Docker/Kubernetes)
  • Basic understanding of privacy/security fundamentals for AI systems (data handling, access controls, logging)

Cybersecurity-aligned preferred experience (nice-to-have):
  • Experience partnering with or supporting a SOC (e.g., translating analyst workflows into automations, alert triage enrichment, case summarization).
  • Familiarity with SIEM/EDR concepts and data (e.g., Splunk/Sentinel-like searches, endpoint telemetry, detection event schemas) to build AI features on top of security telemetry.
  • Exposure to threat intelligence & IOC handling (IPs/domains/URLs/hashes) and using AI to extract/normalize indicators from unstructured text.
  • Working knowledge of incident response lifecycle and case management processes (ticketing, evidence handling, basic post-incident reporting).
  • Awareness of secure software practices (secrets management, least privilege, dependency hygiene) when building and deploying AI services.

Education/Experience: Bachelor's degree (BS/BA) desired in Computer Science or Cybersecurity. 5+ years of related experience. Certification is required in some areas.
Supervisor:
No
Our Lead Cybersecurity earns between $141,300-$211,900 USD Annual, not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond what state and local law require may be available but is unprotected
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
  • AT&T internet (and fiber where available) and AT&T phone.

#LI-Onsite - Full-time office role-
Ready to join our team? Apply today.
Our Lead Cybersecurity jobs earn between $141,300.00 - $211,900.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond what state and local law require may be available but is unprotected
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours:
40
Time Type:
Regular
Location:
USA:NC:Charlotte / Ibm Dr - Adm:8505 Ibm Dr
Salary Range:
$141,300.00 - $211,900.00
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

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