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Remote Prompt Engineer Jobs in New York (NOW HIRING)

AI/ ML Engineer

New York, NY ยท Remote

$60 - $62/hr

US/ Canada- Remote Minimum exp. required: 8+ yrs. We are looking for a GenAI Engineer to design ... Implement prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques

AI Engineer

Manhattan, NY ยท Remote

$85 - $110/hr

Remote (U.S. candidates working EST hours) Start Date Is: ASAP Duration: 6 Month Contract ... Strong prompt engineering skills. * Backend or full-stack software development experience (backend ...

Software Engineer (Full-stack)

New York, NY ยท On-site +1

$110K - $135K/yr

Atlanta, GA | NYC, NY | Remote, USA Employment Type: Full-time, Salaried Who We Are Impiricus is ... Integrate and refine LLM workflows including prompt engineering, model orchestration, and backend/U ...

Remote OR Hybrid NYC- either OK (EST working hours) Start Date Is: ASAP Duration: (contract, perm ... Prompt Engineering as a Core Discipline: Write, rigorously test, and refine complex prompts and ...

Remote OR Hybrid NYC- either OK (EST working hours) Start Date Is: Early May Duration: (contract ... Prompt Engineering as a Core Discipline: Write, rigorously test, and refine complex prompts and ...

Remote micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

Senior Software Engineer (Full-stack)

New York, NY ยท On-site +1

$134K - $176K/yr

New York, NY | Atlanta, GA | Remote Employment Type: Full-time, Salaried Who We Are Impiricus is ... Integrate AI/LLM-powered capabilities into customer-facing and internal tools, including prompt ...

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Remote Prompt Engineer information

See New York salary details

$14

$61

$88

How much do remote prompt engineer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for remote prompt engineer in New York is $61.26, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $81.54 per hour, depending on experience, location, and employer.

What is a Remote Prompt Engineer job?

A Remote Prompt Engineer designs, refines, and optimizes prompts to improve interactions between users and AI models. They work with natural language processing (NLP) systems to enhance response accuracy and relevance. This role often involves testing different prompts, analyzing AI outputs, and collaborating with developers or researchers to fine-tune language models. Since the position is remote, engineers use online tools and communication platforms to collaborate with teams and stay updated on AI advancements.

What does a typical workday look like for a Remote Prompt Engineer?

As a Remote Prompt Engineer, your workday often involves designing and testing prompts for various AI models, collaborating with product managers and developers, and analyzing model outputs to refine interactions. You may also participate in virtual team meetings to discuss project goals, provide feedback on AI performance, and stay updated on new advancements in prompt engineering. Routine responsibilities include documenting prompt structures, troubleshooting model behavior, and integrating feedback from client or user testing. This dynamic and collaborative environment enables you to contribute creative solutions and drive continuous improvement in AI-driven applications.

What are the key skills and qualifications needed to thrive in the Remote Prompt Engineer position, and why are they important?

To thrive as a Remote Prompt Engineer, you need expertise in natural language processing, prompt design, and a background in computer science or a related field. Familiarity with AI platforms (such as OpenAI or Anthropic APIs), programming languages like Python, and prompt engineering tools is highly valuable. Outstanding communication, collaboration, and problem-solving skills help remote team members excel in optimizing AI performance. These competencies ensure tailored, effective AI solutions and smooth, results-driven teamwork from a remote environment.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, which offer compensation in that range. These positions often require advanced skills in AI development, leadership experience, and may involve overseeing large teams or strategic AI initiatives.

What is the salary of remote prompt engineer?

The salary of a remote prompt engineer typically ranges from $70,000 to $130,000 annually, depending on experience, skills, and the company's location. Entry-level positions may start lower, while experienced professionals with expertise in AI and natural language processing can earn higher salaries. Compensation often includes benefits such as flexible schedules and opportunities for skill development.

Are prompt engineers still in demand?

Prompt engineers are increasingly in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role requires expertise in natural language processing, machine learning, and familiarity with AI tools, making it a valuable skill set in the growing AI industry.

How can I make $100,000 a year working from home?

A remote prompt engineer can earn $100,000 annually by developing high-quality prompts for AI models, gaining expertise in natural language processing, and building a strong portfolio. Increasing income may involve acquiring specialized skills, certifications, and working with multiple clients or companies on a freelance or full-time basis. Consistent performance and staying updated with AI advancements are key to reaching this income level.
What are the most commonly searched types of Prompt Engineer jobs in New York? The most popular types of Prompt Engineer jobs in New York are:
What are popular job titles related to Remote Prompt Engineer jobs in New York? For Remote Prompt Engineer jobs in New York, the most frequently searched job titles are:
What cities in New York are hiring for Remote Prompt Engineer jobs? Cities in New York with the most Remote Prompt Engineer job openings:
Infographic showing various Remote Prompt Engineer job openings in New York as of July 2026, with employment types broken down into 83% Full Time, 10% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,415 per year, or $61.3 per hour.
Machine Learning Operations Engineer - Remote

Machine Learning Operations Engineer - Remote

NAVA Software Solutions

Jersey City, NJ โ€ข On-site, Remote

$76K - $102K/yr

Full-time

Posted 24 days ago


Job description

NAVA Software solutions is looking for a Machine Learning Operations Engineer
Details:
Machine Learning Operations (MLOps) Engineer - AWS (with LLM Focus)
Location: Remote work
Duration: 12 months

Responsibilities:
  • LLM-Optimized MLOps Infrastructure: Design and implement MLOps infrastructure on AWS tailored for LLMs, leveraging services like SageMaker, EC2 (with GPU instances), S3, ECS/EKS, Lambda, and more.
  • LLM Deployment Pipelines: Build and manage CI/CD pipelines specifically for LLM deployment, addressing unique challenges like model size, inference optimization, and versioning.
  • LLMOps Practices: Implement LLMOps best practices for monitoring model performance, drift detection, prompt management, and feedback loops for continuous improvement.
  • RESTful API Development: Design and develop RESTful APIs to expose LLM capabilities to other applications and services, ensuring scalability, security, and optimal performance.
  • Model Optimization: Apply techniques like quantization, distillation, and pruning to optimize LLM models for efficient inference on AWS infrastructure.
  • Monitoring and Observability: Establish comprehensive monitoring and alerting mechanisms to track LLM performance, latency, resource utilization, and potential biases.
  • Prompt Engineering and Management: Develop strategies for prompt engineering and management to enhance LLM outputs and ensure consistency and safety.
  • Collaboration: Work closely with data scientists, researchers, and software engineers to integrate LLM models into production systems effectively.
  • Cost Optimization: Continuously optimize LLMOps processes and infrastructure for cost-efficiency while maintaining high performance and reliability.

Qualifications:
  • Experience: 3+ years of experience in MLOps or a related field, with hands-on experience in deploying and managing LLMs.
  • AWS Expertise: Strong proficiency in AWS services relevant to MLOps and LLMs, including SageMaker, EC2 (with GPU instances), S3, ECS/EKS, Lambda, and API Gateway.
  • LLM Knowledge: Deep understanding of LLM architectures (e.g., Transformers), training techniques, and inference optimization strategies.
  • Programming Skills: Proficiency in Python and experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation), REST API frameworks (e.g., Flask, FastAPI), and LLM libraries (e.g., Hugging Face Transformers).
  • Monitoring: Familiarity with monitoring and logging tools for LLMs, such as Prometheus, Grafana, and CloudWatch.
  • Containerization: Experience with Docker and container orchestration (e.g., Kubernetes, ECS) for LLM deployment.
  • Problem Solving: Excellent problem-solving and troubleshooting skills in the context of LLMs and MLOps.
  • Communication: Strong communication and collaboration skills to effectively work with cross-functional teams

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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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