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Prompt Engineering Jobs in Boston, MA (NOW HIRING)

Applied AI Engineer

Boston, MA · On-site

$109K - $163K/yr

Deep expertise in prompt engineering - system prompt design, few-shot techniques, chain-of-thought, multi-turn conversation management, and structured output. * Experience designing and implementing ...

Applied AI Engineer

Boston, MA · On-site

$109K - $163K/yr

Deep expertise in prompt engineering - system prompt design, few-shot techniques, chain-of-thought, multi-turn conversation management, and structured output. * Experience designing and implementing ...

Evaluate and improve LLM performance through prompt engineering, model benchmarking, hallucination reduction, and faithfulness testing. * Build scalable AI solutions using modern frameworks and ...

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques. • Establish AI engineering ...

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques. • Establish AI engineering ...

LLM Prompt Engineering: Develop and refine prompt chains for real security use cases, including triage, prioritization, and remediation * RAG & Memory Systems: Build retrieval-augmented generation ...

New

Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications. * Cloud Computing:

Showing results 21-40

Prompt Engineering information

See Boston, MA salary details

$35.3K

$68.4K

$103.7K

How much do prompt engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for prompt engineering in Boston, MA is $68,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $78,200.00 per year, depending on experience, location, and employer.

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to ensure accurate and relevant outputs, often requiring skills in programming and understanding of AI behavior.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

What are the most commonly searched types of Prompt Engineering jobs in Boston, MA?

The most popular types of Prompt Engineering jobs in Boston, MA are:

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

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

Infographic showing various Prompt Engineering job openings in Boston, MA as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 5% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $68,415 per year, or $32.9 per hour.

Applied AI Engineer

Hasbro Inc.

Boston, MA • On-site

$109K - $163K/yr

Other

Medical, Life

Re-posted 25 days ago


Hasbro rating

7.9

Company rating: 7.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

We take play seriously. We're looking for curious adventurers ready to find their party, fueled by imagination and drive to build what's never been built before. At Hasbro and Wizards of the Coast, you'll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
We're building something new inside our AI Studio, and we're looking for an Applied AI Engineer to help shape it with us. This role sits at the center of a new and constantly evolving set of challenges. The problems are still being defined, and the approaches are actively being invented. What excites us is the opportunity to determine what it truly means for an iconic character to think, respond, and stay true to itself - consistently, safely, and at scale.
We work where storytelling, imagination, and technology converge. Our focus is on the intelligence layer: the systems that determine how characters understand context, form responses, maintain a consistent voice, and hold carefully defined boundaries. This is where canon knowledge meets language model behavior, and where the quality of every character interaction gets defined and measured.
This role owns one of the most creatively and technically interesting areas on the team: making characters that actually feel like themselves. Working closely with engineers, creative partners, and brand leaders, the Applied AI Engineer will define prompt architecture, own guardrails and evaluation frameworks, and build the retrieval systems that ground characters in their own lore. Success here means developing the tools and practices that make character fidelity measurable.
What You'll Do
  • Design, implement, and continuously refine system prompts, character behavior definitions, and guardrails for our AI character platform.
  • Build evaluation frameworks to measure character fidelity, response quality, and safety - establishing quantitative standards for what "in character" actually means across interaction types.
  • Architect and implement RAG systems to ground character responses in canonical knowledge, including embedding strategies, vector retrieval, and relevance evaluation.
  • Partner with creative and brand teams to translate character attributes - personality, voice, canon, tone, and boundaries - into precise, testable AI behavior and system requirements.
  • Lead prompt versioning, regression testing, and model evaluation practices to ensure character behavior remains consistent across provider updates and model changes.
  • Integrate with multi-provider LLM APIs (OpenAI, Google Gemini, etc.) and make principled selection decisions as the landscape evolves.
  • 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
  • 3+ years of experience building and shipping production LLM-powered systems.
  • Deep expertise in prompt engineering - system prompt design, few-shot techniques, chain-of-thought, multi-turn conversation management, and structured output.
  • Experience designing and implementing evaluation frameworks for LLM outputs, including adversarial and security testing.
  • Hands-on experience with RAG architectures: embedding models, vector stores, chunking strategies, and retrieval evaluation.
  • Proficiency with major LLM APIs (OpenAI, Google Gemini, Anthropic, or equivalent) and experience making principled decisions between them.
  • Strong Python skills and comfort working in AWS environments.
  • Familiarity with how voice AI services work (TTS, STT) - enough to understand how spoken delivery shapes prompt and response design.
  • The ability to communicate AI system behavior clearly to creative, brand, and non-technical collaborators.
Extra Credit
  • Familiarity with guardrails frameworks (NVIDIA NeMo Guardrails, Guardrails AI, or equivalent).
  • Conceptual understanding of fine-tuning and RLHF, even if not a primary area of focus.
  • Background in entertainment, gaming, or IP-driven product development.

The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$109,200-$163,800 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
  • Health & Wellness
  • Time Off to Recharge
  • Financial Well-being
  • Life & Family Support
  • Volunteer and Community Initiatives
  • Learning & Development
  • Exclusive Perks

Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

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