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Flexible Remote Prompt Engineering Jobs (NOW HIRING)

Experience working with LLMs, generative AI, prompt engineering, or AI agents . * Familiarity with ... Benefits Competitive salary based on experience and location Fully remote role with flexible work ...

Generative AI Engineering Intern (Graduate)

$17.25 - $22.25/hr

This internship provides competitive hourly compensation, flexible and remote-friendly scheduling ... Support prompt engineering efforts including designing, testing, and refining prompts to improve ...

Familiarity with prompt engineering , tool calling , and chat agent architectures . * Strong ... Flexible, remote-first work environment. * Opportunities to define and build the AI roadmap of a ...

Knowledge of prompt engineering and LLM evaluation techniques. * Experience deploying AI ... Flexible remote work options * Open door policy to CEO and all Leadership team * One-on-one ...

Proficiency with OpenAI API, LangChain ecosystem, and prompt engineering is essential. * Agent ... Flexible remote work options * Open door policy to CEO and all Leadership team * One-on-one ...

Flexible remote work * Contribute to groundbreaking AI technology * Work on innovative, high-impact ... Validation, Prompt Engineering, Data Analysis, Research, Content Review, Technical Writing ...

Flexible remote work * Contribute to groundbreaking AI technology * Work on innovative, high-impact ... Validation, Prompt Engineering, Data Analysis, Research, Content Review, Technical Writing ...

AI Lead (SAP Background Required)

Torrance, CA · On-site +1

$106K - $139K/yr

We have got a Remote contract opportunity for AI Lead with one of our clients. The detail of the ... This role requires strong experience in LLMs, prompt engineering, RAG pipelines, and AI-driven ...

Showing results 21-40

Flexible Remote Prompt Engineering information

See salary details

$47.5K

$101.7K

$146K

How much do flexible remote prompt engineering jobs pay per year?

As of Aug 6, 2026, the average yearly pay for flexible remote prompt engineering in the United States is $101,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $117,500.00 per year, depending on experience, location, and employer.

What is the difference between Flexible Remote Prompt Engineering vs Chatbot Developer?

AspectFlexible Remote Prompt EngineeringChatbot Developer
Required SkillsPrompt design, AI interaction, language understandingProgramming, API integration, chatbot frameworks
Work EnvironmentRemote, AI-focused teams, flexible hoursRemote or on-site, software development teams
Industry UsageAI, NLP, tech startups, large tech companiesCustomer service, tech companies, AI firms

Flexible Remote Prompt Engineering and Chatbot Developer roles share overlapping skills in AI and remote work environments. However, Prompt Engineers focus on designing effective prompts for AI models, while Chatbot Developers build and program chatbot systems. Both roles are vital in AI-driven industries but differ in technical depth and specific responsibilities.

Are flexible remote prompt engineers still in demand?

Flexible remote prompt engineers are currently in demand as organizations seek expertise in designing effective prompts for AI language models. Skills in natural language processing, AI tools, and remote collaboration are valuable in this evolving field, which continues to grow with advancements in AI technology.

What is the salary of remote prompt engineering?

Remote prompt engineering roles typically offer salaries ranging from $70,000 to $150,000 annually, depending on experience, skills in AI and NLP, and the company's size. Entry-level positions may start lower, while experienced engineers with specialized knowledge can earn higher compensation, often with opportunities for bonuses or stock options.
What cities are hiring for Flexible Remote Prompt Engineering jobs? Cities with the most Flexible Remote Prompt Engineering job openings:
What are the most commonly searched types of Remote Prompt Engineering jobs? The most popular types of Remote Prompt Engineering jobs are:
What states have the most Flexible Remote Prompt Engineering jobs? States with the most job openings for Flexible Remote Prompt Engineering jobs include:
Infographic showing various Flexible Remote Prompt Engineering job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $101,706 per year, or $48.9 per hour.

Full-time

Re-posted 26 days ago


Job description

About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.
Unlike an outsourcing agency, we place you directly with a client where you're hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives.
This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs, automation, and scalable AI infrastructure in a fully remote environment.
Key Responsibilities
  • Design, build, and deploy AI/ML models for real-world applications.
  • Develop and optimize AI-powered features using modern frameworks and APIs.
  • Work with Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives.
  • Build AI pipelines for data processing, training, inference, and monitoring.
  • Collaborate with cross-functional teams to translate business needs into AI solutions.
  • Integrate AI services into web applications, SaaS platforms, and internal tools.
  • Fine-tune and evaluate machine learning models for performance and scalability.
  • Maintain documentation and ensure AI systems follow security and compliance best practices.
  • Stay updated with the latest advancements in AI, machine learning, and automation technologies.

Requirements
  • 2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role.
  • Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain.
  • Experience working with LLMs, generative AI, prompt engineering, or AI agents.
  • Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).
  • Experience deploying models using cloud platforms like AWS, Azure, or Google Cloud.
  • Understanding of APIs, microservices, and backend development.
  • Experience with Docker, Git, and CI/CD workflows.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and ability to work remotely with global teams.
  • Bachelor's degree in Computer Science, AI, Data Science, or related field preferred.
  • Experience with AI automation tools and agent frameworks.
  • Knowledge of MLOps and model monitoring tools.
  • Familiarity with NLP, computer vision, or recommendation systems.
  • Experience building AI SaaS products or chatbots.
  • Exposure to FastAPI, Node.js, or React-based applications.

Benefits
Competitive salary based on experience and location
Fully remote role with flexible work environment
Work on cutting-edge AI automation projects with real business impact
Strong growth opportunity into senior AI / systems roles
Exposure to LLMs, prompt engineering, and scalable AI system design
Direct collaboration with a fast-moving, high-performance team