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Remote Prompt Engineer Jobs in Massachusetts (NOW HIRING)

Full Stack Java Developer

Woburn, MA ยท Remote

$57.50 - $74/hr

Remote Department: Technology / Engineering Next.js is an absolute MUST have - non negotiable ... Exposure to AI/ML model deployment or prompt engineering. * Agile/Scrum experience. * Certified ...

Full Stack Java Developer

Woburn, MA ยท Remote

$57.50 - $74/hr

Remote Department: Technology / Engineering Next.js is an absolute MUST have - non negotiable ... Exposure to AI/ML model deployment or prompt engineering. * Agile/Scrum experience. * Certified ...

Software Engineer

Boston, MA ยท On-site +1

... and remote Bitsight is a recognized industry leader dedicated to making the online world a safer ... Familiarity with prompt engineering or LLM-based API integrations. Belonging & Inclusion Bitsight ...

Backend Engineer/FullStack

Cambridge, MA ยท On-site +1

$140K - $220K/yr

Exposure to LLM-driven systems (prompt management, caching, streaming) * Experience with Docker ... Remote work stipend * Generous PTO Next Steps If you're interested in working on challenging ...

$90 - $130/hr

Deep understanding of the agentic AI attack surface , including indirect and persistent prompt ... Remote cooperation with a schedule convenient for both you and the team: We can work with experts ...

Design Expert - Remote

Boston, MA ยท On-site +1

$30 - $70/hr

Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping ... engineer/vibecoder. * Experience at a product- or design-focused company, startup, or notable ...

Design Expert - Remote

Boston, MA ยท On-site +1

$30 - $70/hr

Apply prompt-driven development, human-centered design, heuristic evaluation, and rapid prototyping ... engineer/vibecoder. * Experience at a product- or design-focused company, startup, or notable ...

Guidewire Developer-ClaimCenter

Boston, MA ยท On-site +1

$59.25 - $78.25/hr

... TX, Remote-CT, Remote-GA, Remote-IL, Remote-IN, Remote-OH, Remote-PA, Remote-TX, Remote-VA ... AI Prompt/Agentic Engineering * Monitoring and logging via tools like AppDynamics and Splunk

Senior Director, User Experience Remote, United States or Canada Later is the world's most ... Upskill the design team in applied prompt engineering, computational design thinking, and the use ...

Sr. OutSystems Developer

Boston, MA ยท On-site +1

$131K - $160K/yr

Advanced proficiency in prompt engineering to design complex AI solutions, ensuring output ... remote employees. Our customers are some of the world's most recognizable brands across diverse ...

Senior eDiscovery Analyst

Boston, MA ยท Remote

$100K - $126K/yr

This is a remote-first position, with a focus on candidates in GA, TX, MA, IL, DE, MN, NY, and DC ... prompt engineering, model limitations and hallucination risk, human-in-the-loop quality control ...

Sr. Manager, AI Enablement

Lakeville, MA ยท On-site +1

$128K - $160K/yr

... remote. The Senior Manager, Artificial Intelligence leads the development, execution, and ongoing ... Contribute hands-on to solution design, prototyping, model evaluation, and prompt engineering.

Showing results 41-60

Remote Prompt Engineer information

See Massachusetts salary details

$14

$61

$88

How much do remote prompt engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote prompt engineer in Massachusetts is $61.15, according to ZipRecruiter salary data. Most workers in this role earn between $43.85 and $81.39 per hour, depending on experience, location, and employer.

What is a remote prompt engineer?

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

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 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.

Are remote prompt engineers still in demand?

Remote prompt engineers are currently in demand as organizations seek expertise in designing effective prompts for AI language models. The role often requires skills in natural language processing, AI tools, and programming, with many companies offering remote positions due to the digital nature of the work.

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 size. Entry-level positions may start lower, while experienced professionals with specialized knowledge in AI and machine learning can earn higher salaries. Compensation often includes benefits such as flexible schedules and opportunities for skill development.

What are the most commonly searched types of Prompt Engineer jobs in Massachusetts?

The most popular types of Prompt Engineer jobs in Massachusetts are:

What job categories do people searching Remote Prompt Engineer jobs in Massachusetts look for?

The top searched job categories for Remote Prompt Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Prompt Engineer jobs?

Cities in Massachusetts with the most Remote Prompt Engineer job openings:

Infographic showing various Remote Prompt Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 45% Full Time, 38% Part Time, and 17% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,192 per year, or $61.1 per hour.

Full Stack Java Developer

3B Staffing LLC

Woburn, MA โ€ข Remote

$57.50 - $74/hr

Contractor

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Full Stack Java Developer (Next.js)

REMOTE (MUST BE EST OR CST TIME ZONE)

6- Months Contract

Experience: 7-10 Years

Location: Remote

Department: Technology / Engineering

Next.js is an absolute MUST have - non negotiable. Please make sure it is listed within the body of the resume!

Cloud Experience is a MUST! Please make sure it is listed within the body of the resume!

AI coding tools (e.g., GitHub Copilot, Amazon CodeWhisperer, Tabnine) is a MUST! Please make sure it is listed within the body of the resume!

Healthcare Experience is 100% required on the PAYER side!!!

The above are non negotiable!

Position Summary:

We are seeking a highly skilled and experienced Senior Java Developer to join our engineering team. This role involves designing, developing, and implementing scalable enterprise applications using Java Spring Boot, Microservices architecture, and DevOps practices. The ideal candidate will also contribute to solution architecture, mentor junior developers, and collaborate across teams to drive innovation and delivery excellence. This position requires proficiency in AI coding tools (e.g., GitHub Copilot, Amazon CodeWhisperer, Tabnine) to enhance productivity and code quality. Experience or interest in Generative AI integration is a strong plus.

Key Responsibilities

  • Design and develop robust, scalable, and secure microservices using Java Spring Boot.
  • Build responsive front-end components using Bootstrap and integrate with RESTful APIs.
  • Collaborate with cross-functional teams including DevOps, QA, and Product to deliver high-quality software.
  • Integrate Generative AI APIs or models into enterprise applications where applicable.
  • Implement CI/CD pipelines and manage deployments using tools like Jenkins, GitHub Actions, Docker, and Kubernetes.
  • Participate in architectural discussions and contribute to technical decision-making.
  • Monitor and optimize application performance and troubleshoot production issues.
  • Leverage AI coding tools to streamline development workflows and improve code quality.
  • Provide mentorship and guidance to junior developers.
  • Participate in code reviews, tech talks, and workshops to foster a culture of learning and collaboration.

Required Skills & Qualifications

  • 7-10 years of hands-on experience in Java, Spring Boot, and RESTful API development.
  • Strong understanding of Microservices architecture and cloud-native development.
  • Proficiency in Bootstrap, HTML5, CSS3, and JavaScript for front-end development.
  • Experience with DevOps tools: Git, Jenkins, Docker, Kubernetes, and CI/CD pipelines.
  • Familiarity with Generative AI concepts and integration of AI APIs (e.g., OpenAI, Azure OpenAI, Hugging Face).
  • Proficiency in using AI coding tools (e.g., GitHub Copilot, Amazon CodeWhisperer).
  • Experience with SQL/NoSQL databases (e.g., PostgreSQL, MongoDB).
  • Knowledge of security best practices in enterprise applications.
  • Strong problem-solving, decision-making, and communication skills.
  • Adept at collaboration, execution, and continuous learning.

Preferred Qualifications

  • Experience with cloud platforms like Azure or GCP.
  • Exposure to AI/ML model deployment or prompt engineering.
  • Agile/Scrum experience.
  • Certified Systems Engineering Professional (CSEP) or AWS Certified DevOps Engineer.
  • Contributions to open-source projects.

Education

  • Bachelor's degree preferred or equivalent specialized training/professional qualification.