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Flexible Remote Prompt Engineering Jobs in Virginia

Ignite IT is seeking a Junior AI Prompt Engineer to support U.S. Customs and Border Protection (CBP ... Flexible schedule * Flexible spending account * Referral program * Paid Legal Plan * and more.

Data and AI Solution Engineer

Herndon, VA ยท Remote

$179K - $318K/yr

Maintain a strong understanding of emerging GenAI frameworks, prompt engineering methodologies ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Engineering Lead, Platform Engineering

Richmond, VA ยท On-site +1

$101K - $133K/yr

Their 2M+ customers love us because we provide a flexible way for them to make payments and give ... Champion AI-assisted development practices across the team - prompt engineering workflows, AI ...

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Flexible Remote Prompt Engineering information

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 in Virginia are hiring for Flexible Remote Prompt Engineering jobs? Cities in Virginia with the most Flexible Remote Prompt Engineering job openings:

Machine Learning Engineer with SageMaker Experience

Maxiom Technology

Ashburn, VA โ€ข On-site, Remote

Full-time

Re-posted 6 days ago


Job description

Are you a passionate Machine Learning Engineer with a strong background in SageMaker, prompt engineering, and LLM (Large Language Model) model tuning? Do you thrive in a dynamic and innovative environment, eager to push the boundaries of AI capabilities? If so, we invite you to join our team as we revolutionize the world of AI-driven applications.

Position: Machine Learning Engineer
Location: Remote

Preferred Resource Location: LATAM

About Us:
Maxiom Technology is a cutting-edge technology company at the forefront of AI-driven solutions. We specialize in developing intelligent applications that leverage the power of machine learning and natural language processing. Our team consists of talented individuals who are dedicated to creating groundbreaking solutions that transform industries.

Responsibilities:

- Collaborate with cross-functional teams to design, develop, and deploy machine learning models using Amazon SageMaker.
- Utilize your expertise in prompt engineering to craft effective inputs for LLM models to achieve desired outputs.
- Fine-tune and optimize LLM models to enhance performance, efficiency, and accuracy.
- Design and implement experiments to evaluate model performance, iteratively improving results.
- Stay up-to-date with the latest advancements in machine learning, particularly in the realm of LLM models and prompt engineering techniques.
- Identify and troubleshoot issues related to model performance, data quality, and integration.
- Contribute to the entire machine learning lifecycle, from data preprocessing and training to deployment and monitoring.
- Collaborate with software engineers to integrate machine learning solutions into our applications.
- Document your work, best practices, and findings to share knowledge across the team.

Qualifications:

- Bachelor's degree in Computer Science, Engineering, or a related field (Master's or PhD preferred).
- Proven experience in developing and deploying machine learning models using Amazon SageMaker.
- Strong background in prompt engineering techniques for fine-tuning LLM models.
- Proficiency in programming languages such as Python for model development and experimentation.
- Solid understanding of natural language processing concepts and techniques.
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and their integration with SageMaker.
- Experience with data preprocessing, feature engineering, and data augmentation.
- Problem-solving skills to diagnose and address model performance and data-related issues.
- Excellent communication skills to collaborate effectively within multidisciplinary teams.
- Ability to adapt to evolving technologies and learn quickly in a fast-paced environment.

Bonus Skills:

- Publications or contributions to the machine learning community.
- Experience with cloud services (AWS, Azure, Google Cloud) and containerization technologies.
- Knowledge of DevOps practices for model deployment and monitoring.

Why Join Us:

- Opportunity to work on cutting-edge projects that push the boundaries of AI technology.
- Collaborative and inclusive work environment that values innovation and creativity.
- Access to resources and support for continuous learning and professional growth.
- Competitive compensation package and benefits.

If you are an ambitious Machine Learning Engineer with a proven track record in SageMaker, prompt engineering, and LLM model tuning, we would love to hear from you. Join us in our mission to create groundbreaking AI solutions that shape the future. Apply now by sending your resume and a cover letter.

Maxiom Technology is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.