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Remote Prompt Engineering Jobs in Leander, TX (NOW HIRING)

Monday-Thursday (8 AM-5PM CST) onsite; Fridays remote. Benefits: This position is eligible for ... Strong understanding of LLMs, Generative AI, RAG architectures, prompt engineering, and AI agents.

... and remote roles. Cornelis Networks is seeking anAI Platform Engineerto help shape how our ... Write and Improve Agent Skills and Prompt Engineering: Author and tune the structured workflows and ...

Principal Software Engineer (Python)

Austin, TX · On-site +1

$133K - $179K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... success areas, prompt engineering, and synthetic data generation. * Mentor Senior & Junior ...

This is a remote role based out of Austin, TX Meet the Team Cisco Cloud Control is Cisco's next ... Studio is where customers build on it - turning a prompt into a running, production-grade ...

This is a remote or in-person role (Austin, TX). You'll be responsible for creating production ... Strong understanding of prompt design, tool usage, and AI interaction patterns Benefits

With a focus on leveraging technology, automation, and remote operations to enhance efficiencies ... Implement testing strategies for AI behavior including prompt evaluation, regression testing ...

With a focus on leveraging technology, automation, and remote operations to enhance efficiencies ... Implement testing strategies for AI behavior including prompt evaluation, regression testing ...

... prompt and context management - so we can measure and debug them with confidence * Take on hard ... Work closely with Product, Engineering, and Data to make sure what we build is useful, well ...

... our security engineering function end-to-end from defining platform strategy to hands-on ... This is a remote position Key Responsibilities Detection, Response & Visibility * Own strategy and ...

Principal Security Engineer

Austin, TX · On-site +1

$175K - $200K/yr

... our security engineering function end-to-end from defining platform strategy to hands-on ... This is a remote position Key Responsibilities Detection, Response & Visibility * Own strategy and ...

... our security engineering function end-to-end from defining platform strategy to hands-on ... This is a remote position Key Responsibilities Detection, Response & Visibility * Own strategy and ...

Lead Software Engineer

Austin, TX · On-site +1

$110K - $216K/yr

Collaborate with Product & Engineering leadership to help shape the AI strategy. * Assess ... Deep understanding of and experience with RAG pipelines, MCP, AI agents, multimodal LLMs, prompt ...

AI Solutions Architect

Austin, TX · Remote

$64.50 - $85/hr

Remote (US time zone overlap required) Experience: 10+ years in software/ML architecture, 5+ years ... You will work closely with our engineering, product, and architecture teams. Some weeks are ...

AI Solutions Architect

Austin, TX · On-site +1

$62.50 - $82.25/hr

Remote (US time zone overlap required) Experience: 10+ years in software/ML architecture, 5+ years ... You will work closely with our engineering, product, and architecture teams. Some weeks are ...

Showing results 21-40

Remote Prompt Engineering information

See Leander, TX salary details

$16

$31

$45

How much do remote prompt engineering jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote prompt engineering in Leander, TX is $31.59, according to ZipRecruiter salary data. Most workers in this role earn between $25.29 and $36.54 per hour, depending on experience, location, and employer.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.

Are remote prompt engineers still in demand?

Remote prompt engineers are currently in demand as organizations seek expertise in designing effective prompts for AI models. The role often requires skills in natural language processing, AI tools, and continuous learning to keep up with evolving technologies. Demand is driven by the growth of AI applications across various industries.

What job categories do people searching Remote Prompt Engineering jobs in Leander, TX look for?

The top searched job categories for Remote Prompt Engineering jobs in Leander, TX are:

What cities near Leander, TX are hiring for Remote Prompt Engineering jobs?

Cities near Leander, TX with the most Remote Prompt Engineering job openings:

Infographic showing various Remote Prompt Engineering job openings in Leander, TX as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $65,701 per year, or $31.6 per hour.

Senior Full Stack AI Engineer

Addison Group

Austin, TX • Remote

$85 - $95/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 14 days ago


Job description

Position: Senior Full Stack AI Engineer

Location: Austin, TX - must be local and onsite 4 days per week

Duration: 6 month with potential to extend

Compensation: $85-95/HR

Work schedule: Monday-Thursday (8 AM-5PM CST) onsite; Fridays remote.

Benefits: This position is eligible for medical, dental, vision and 401(k).

Overview

We are seeking a Senior Full Stack AI Engineer to lead the design, development, and deployment of enterprise-scale AI applications. This role will drive architecture decisions, mentor engineering teams, and deliver innovative solutions leveraging Large Language Models (LLMs), cloud platforms, and modern full-stack technologies.

Key Responsibilities

  • Design, build, and support AI-powered applications using LLMs, generative AI platforms, and agentic workflows.
  • Architect and develop scalable backend services using Python and modern frameworks such as FastAPI, Flask, or Django.
  • Build and maintain responsive, user-focused applications using React, Next.js, Angular, or similar front-end technologies.
  • Design and govern APIs, microservices, authentication, and authorization solutions.
  • Develop intelligent agents, copilots, knowledge management systems, and Retrieval-Augmented Generation (RAG) solutions.
  • Integrate AI applications with enterprise systems, databases, APIs, SaaS platforms, and cloud services.
  • Establish engineering standards, conduct code reviews, and mentor team members.
  • Lead AI model evaluation, optimization, observability, and governance initiatives.
  • Ensure compliance with security, privacy, and responsible AI best practices.
  • Collaborate with business and technical stakeholders to translate requirements into scalable solutions.

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field (Master's preferred).
  • 8+ years of software engineering experience, including 4+ years developing AI/ML products.
  • Proven experience designing and deploying enterprise-scale AI solutions.
  • Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud.
  • Experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or similar.
  • Strong understanding of LLMs, Generative AI, RAG architectures, prompt engineering, and AI agents.
  • Experience with relational, NoSQL, and vector databases.
  • Familiarity with model evaluation, AI governance, observability, and security practices.
  • Experience building and consuming RESTful APIs and microservices.

Technical Skills

  • Expert-level Python development.
  • Proficiency with React, Next.js, Angular, JavaScript, TypeScript, HTML, and CSS.
  • Strong API and microservices development experience.
  • Experience integrating AI models and third-party services into production applications.
  • Knowledge of CI/CD pipelines, automated testing, and source control best practices.
  • Strong troubleshooting, performance tuning, and problem-solving skills.

Leadership & Collaboration

  • Ability to lead technical initiatives and influence architecture decisions.
  • Experience mentoring engineers and promoting development best practices.
  • Strong communication skills with the ability to engage both technical and non-technical stakeholders.
  • Ability to translate complex business needs into technical solutions and engineering roadmaps.

This is an opportunity to help shape the future of AI-driven products while working across the full technology stack to deliver innovative, scalable solutions.

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.