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Llm Prompt Engineer Jobs in Boston, MA (NOW HIRING)

Evaluate and adopt emerging techniques in prompt engineering, agentic design, and LLM evaluation that meaningfully advance the quality and reliability of character experiences. What You Will Bring ...

Applied AI Engineer

Boston, MA ยท On-site

$109K - $163K/yr

Evaluate and adopt emerging techniques in prompt engineering, agentic design, and LLM evaluation that meaningfully advance the quality and reliability of character experiences. What You Will Bring ...

Staff / Principal Engineer

Boston, MA ยท On-site +1

$163K - $185K/yr

... LLM integration, MLOps, prompt engineering, and AI-powered product features. Based in the US with a strong preference for East Coast availability, this engineer will set the technical direction for ...

Senior AI Engineer

Boston, MA ยท On-site

$113K - $155K/yr

... prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases. Company : Klaviyo is an automation and email platform designed to help grow ...

AI Engineer

Boston, MA ยท On-site

$65 - $80/hr

Candidates with demonstrated experience delivering scalable LLM-powered solutions, modern AI ... Strong understanding of prompt engineering, embeddings, model evaluation, and AI application ...

... prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases. Company : Klaviyo is an automation and email platform designed to help grow ...

Senior AI Engineer

Concord, MA ยท On-site

$114K - $157K/yr

Hands-on familiarity with Prompt Engineering by leveraging LLM frameworks such as LangChain. * Strong programming skills in Python and familiarity with modern data/ML pipelines. * Solid understanding ...

Senior AI Engineer

Concord, MA ยท On-site

$114K - $157K/yr

Hands-on familiarity with Prompt Engineering by leveraging LLM frameworks such as LangChain. * Strong programming skills in Python and familiarity with modern data/ML pipelines. * Solid understanding ...

Senior AI Engineer

Boston, MA ยท On-site

$113K - $155K/yr

You've shipped LLM-powered agent systems to real users, you have strong intuitions about prompt engineering, tool use, and orchestration patterns, and you keep up with a field that changes fast. You ...

Senior AI Engineer

Boston, MA ยท On-site

$113K - $155K/yr

Architect and build LLM-powered systems - design retrieval workflows, context management, agent ... Drive prompt engineering and iteration - refine prompts, templates, and context strategies to meet ...

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Llm Prompt Engineer information

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How much do llm prompt engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for llm prompt engineer in Boston, MA is $63.24, according to ZipRecruiter salary data. Most workers in this role earn between $49.38 and $77.31 per hour, depending on experience, location, and employer.

What is an LLM Prompt Engineer?

An LLM Prompt Engineer is a professional who specializes in designing, testing, and optimizing prompts for large language models (LLMs) such as GPT-4. Their role involves crafting effective instructions and queries to guide the model's output for specific applications, ensuring accuracy, relevance, and reliability. They may also analyze model behavior, implement prompt-based workflows, and collaborate with developers to integrate LLMs into products or services. The goal is to maximize the performance and efficiency of language models in various real-world contexts.

What are the key skills and qualifications needed to thrive as an LLM Prompt Engineer?

To thrive as an LLM Prompt Engineer, you need a deep understanding of natural language processing, prompt engineering strategies, and proficiency in programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), large language model APIs, and version control systems is typically required. Strong analytical thinking, creativity, and effective communication are crucial soft skills for crafting precise prompts and collaborating with cross-functional teams. These skills ensure the development of effective, ethical, and high-performing AI-powered solutions that meet diverse user needs.

What are some common challenges faced by LLM Prompt Engineers when designing effective prompts for large language models?

LLM Prompt Engineers often encounter challenges such as ensuring prompts are both clear and unambiguous to elicit accurate model responses, as well as avoiding bias or unintended outputs. Balancing creativity and specificity in prompt design can be tricky, especially when tailoring prompts for diverse user intents or specialized domains. Additionally, prompt engineers must frequently iterate and test their prompts, collaborating closely with data scientists and product teams to continually refine them based on observed model behavior and user feedback.

What is the difference between Llm Prompt Engineer vs Data Scientist?

AspectLlm Prompt EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; familiarity with NLP and AI toolsBachelor's or higher in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentAI labs, tech companies, startups focusing on NLP and AI modelsData analysis, modeling, and visualization in various industries like finance, healthcare, tech
Employer & Industry UsagePrimarily in AI development, NLP projects, and machine learning teamsAcross industries for data analysis, predictive modeling, and decision support

While both roles involve working with data and AI, Llm Prompt Engineers focus on designing prompts for language models, whereas Data Scientists analyze data to derive insights. The roles share similar educational backgrounds and work environments but differ in their core tasks and industry applications.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with large language models and AI systems. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, with job growth driven by expanding AI applications across industries.

What are popular job titles related to Llm Prompt Engineer jobs in Boston, MA?

For Llm Prompt Engineer jobs in Boston, MA, the most frequently searched job titles are:

What cities near Boston, MA are hiring for Llm Prompt Engineer jobs?

Cities near Boston, MA with the most Llm Prompt Engineer job openings:

Infographic showing various Llm Prompt Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $131,548 per year, or $63.2 per hour.

Temporary Micro-Credential Grader - Industry-Focused Prompt Engineering for ROI-Driven Results

Brandeis University

Waltham, MA โ€ข On-site

$25 - $30/hr

Part-time

Re-posted 6 days ago


Job description

Location: Fully remote (U.S.-based applicants only, no visa sponsorships)
Division: Rabb School of Continuing Studies, Brandeis University
Type: Part-Time, 4 months, varying hours, no more than 25 hours per week
Compensation: Hourly $25-$30
Reports to: Assistant Dean of Education and Learning Innovation
Brandeis University's Rabb School of Continuing Studies is seeking a detail-oriented professional with expertise in applied AI to serve as a Micro-Credential Grader for the online asynchronous credential, Industry-Focused Prompt Engineering for ROI-Driven Results.
In this fully remote, short-term hourly position, you'll evaluate learner submissions that demonstrate practical mastery in designing, testing, and refining prompts for large language models (LLMs) to support measurable organizational objectives. This credential equips professionals with the ability to align prompt strategies with business goals, evaluate platform performance, and quantify the ROI impact of AI-driven solutions. As a grader, you'll apply structured rubrics to assess strategic thinking, prompt engineering fluency, and outcome-based reasoning.
This role offers a unique opportunity to contribute to a cutting-edge, workforce-aligned credential that bridges AI innovation with business impact.
What You Will Do
  • Evaluate learner submissions that include prompt design portfolios, platform performance analyses, and ROI impact assessments tied to real-world business use cases.
  • Apply structured rubrics to assess mastery of skills such as LLM prompt iteration, use-case alignment, performance benchmarking, and ROI quantification.
  • Review learner reflections on prompt strategy effectiveness, ethical considerations, and organizational integration.
  • Participate in calibration exercises with fellow graders (if needed) to ensure consistency in evaluating strategic, technical, and business-oriented artifacts.
  • Maintain confidentiality and objectivity throughout the grading process.

What You Bring
  • Bachelor's degree required; Master's degree preferred in Computer Science, Data Science, Business Analytics, or related disciplines.
  • Subject-matter expertise in prompt engineering, LLM capabilities, and AI deployment for business outcomes.
  • Experience in academic assessment, workforce development, or digital learning preferred.
  • Familiarity with learning management systems (Moodle preferred), online credentialing platforms, and collaborative grading workflows.
  • Professional, learner-centered approach with a commitment to academic integrity and continuous improvement.
  • Proficient in rubric-based assessment and competency validation, especially for strategic and project-based submissions.
  • Strong attention to detail and ability to maintain consistency across diverse learner artifacts.
  • Excellent written communication skills for delivering constructive, learner-focused feedback.
  • Comfortable working in asynchronous learning environments and using digital platforms.
  • Adaptability in managing multiple grading tasks within deadlines.

Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").