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Conversational Ai Prompt Engineer Jobs (NOW HIRING)

OVA.Work

Prompt Engineer

Work is looking for a creative and technically skilled Prompt Engineer to design, test, and ... or conversational design. • Knowledge of ethical AI principles and safety considerations. • ...

USM

JB061755 - AI Prompt Engineer - Remote

Advanced Prompt Engineering * Structured Data Transformation, transformation rules, requirements etc. * LLM, LLM instructions * Build and Test AI workflows * AI Experience - Perplexity, ChatGPT or ...

Symple Lending, Inc.

$125 - $150/hr

Perform prompt engineering, tool definition, and agent optimization. * Write unit and integration ... Experience with conversational AI platforms (ElevenLabs, ZVA, AWS Lex, Dialogflow, or similar)

OVA.Work

AI prompt analyst

... engineering, and business teams to translate requirements into AI-driven solutions • Develop ... , or conversational design • Knowledge of AI ethics, bias mitigation, and responsible AI ...

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Conversational Ai Prompt Engineer information

What is a conversational AI prompt engineer?

A Conversational AI Prompt Engineer is a professional who designs, develops, and refines prompts and responses for AI-powered chatbots and voice assistants. Their primary role is to ensure that the AI can understand and respond accurately to user inputs, creating natural and engaging conversations. They work closely with machine learning models, linguistics, and user experience teams to optimize the AI's performance. This often involves testing, analyzing user interactions, and improving prompt structures to reduce ambiguity and enhance user satisfaction.

How does a conversational AI prompt engineer typically collaborate with data scientists and product teams to enhance AI model performance?

Conversational AI Prompt Engineers often work closely with data scientists and product teams to design, test, and refine prompts that improve the quality and relevance of AI-generated responses. This collaboration involves regular meetings to discuss model outputs, analyze user feedback, and implement changes that align with product goals. Working in cross-functional teams allows Prompt Engineers to quickly iterate on prompt strategies, address challenges such as ambiguous queries, and ensure the AI system meets user expectations and business requirements.

What are the key skills and qualifications needed to thrive as a conversational AI prompt engineer, and why are they important?

A Conversational AI Prompt Engineer should have a strong background in natural language processing, linguistics, and computer science, often supported by relevant degrees or experience in AI development. Familiarity with machine learning frameworks, prompt engineering tools, and platforms like OpenAI's GPT models or similar LLM APIs is crucial. Strong analytical thinking, creativity, and communication skills help in designing effective prompts and collaborating with cross-functional teams. These skills ensure the development of high-quality, engaging conversational AI systems that meet user needs and business goals.

What is the difference between Conversational Ai Prompt Engineer vs Chatbot Developer?

AspectConversational Ai Prompt EngineerChatbot Developer
Required SkillsPrompt design, NLP understanding, AI toolsProgramming, scripting, chatbot platforms
Work EnvironmentAI labs, tech companies, startupsWeb development, customer service, enterprise
Common CertificationsAI, NLP, machine learning coursesSoftware development, specific chatbot platforms

Conversational Ai Prompt Engineers focus on designing prompts to optimize AI interactions, requiring skills in NLP and AI tools. Chatbot Developers build and program chatbots using coding and platform-specific tools. While both roles work with conversational technology, the Prompt Engineer emphasizes prompt crafting and AI optimization, whereas the Developer focuses on coding and deployment.

What are popular job titles related to Conversational Ai Prompt Engineer jobs?

For Conversational Ai Prompt Engineer jobs, the most frequently searched job titles are:

Infographic showing various Conversational Ai Prompt Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Prompt Engineer - Minneapolis, Mn

Minneapolis, MN • On-site

Motion Recruitment Partners, LLC
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Motion Recruitment Partners, LLCexternal

Other

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description


A major enterprise security organization is growing its generative AI research efforts and is looking for an AI Prompt Engineer in Minneapolis. The group is exploring how frontier language models can be incorporated into cybersecurity testing and is building technology that uses AI to uncover weaknesses across software, infrastructure, and network environments.
The position sits at the intersection of AI engineering, cybersecurity, and software development. You will be responsible for designing the instructions and supporting logic that allow large language models to conduct meaningful security analysis. Success in this role requires more than prompt-writing ability; you must understand the security problems being investigated well enough to direct an AI model toward useful findings and distinguish meaningful vulnerabilities from noise.
Required Skills & Experience
  • Proven hands-on work with advanced LLM prompting, prompt engineering, or AI workflow development
  • Strong understanding of cybersecurity fundamentals and how vulnerabilities are identified and exploited
  • Knowledge of malware, network ingress/egress, attack vectors, and common infrastructure weaknesses
  • Programming experience with at least one general-purpose development language
  • Ability to develop structured AI workflows that combine prompts, context, logic, and model responses
  • Experience working with relational, search, or cloud-hosted database technologies
  • Familiarity with PostgreSQL, Elastic/Elasticsearch, Cloud SQL, or equivalent platforms

Desired Skills & Experience
  • Familiarity with automated security testing techniques such as SAST and DAST
  • Security assessment or penetration-testing experience
  • Knowledge of cloud infrastructure and cloud security concepts
  • Exposure to Kubernetes-based environments
  • Experience with Google Kubernetes Engine
  • Previous work involving AI red teaming, model testing, or adversarial AI research

What You Will Be Doing
Daily Responsibilities
  • Design prompt architectures that direct AI models through cybersecurity research and testing tasks
  • Build AI harnesses capable of maintaining relevant context throughout complex security investigations
  • Develop test cases that identify software vulnerabilities and infrastructure exposures
  • Use generative AI to support network-perimeter analysis and discovery of open or risky services
  • Create workflows for identifying suspicious certificate usage and other security-control weaknesses
  • Experiment with different frontier models without being tied to a single provider
  • Assess the usefulness and accuracy of model-generated security findings
  • Partner with engineers responsible for capturing and processing the resulting security data
  • Coordinate with cyber threat hunters who investigate and remediate validated findings

The Offer
  • Contract opportunity
  • Competitive hourly compensation

You will receive the following benefits:
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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